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********************************************* * * * * * OOO 1 000 * * O O o 11 0 0 * * O O 1 0 0 * * O VVVVV VVV I PPPP 1 0 0 * * O O V V I P P 1 0 0 * * O O VV I P P 1 .. 0 0 * * OOO V I PPPP 111 .. 000 * * P * * P * * P * * * ********************************************* U S E R S M A N U A L OVIPAROUS SOFTWARE Copyright (C) 1 9 9 2 ALL RIGHTS RESERVED TABLE OF CONTENTS ================= REGISTRATION INFOMATION 1.0 GENERAL 1.1 About this document 1.2 About OVIP 2.0 RUNNING OVIP 2.1 Hardware requirements 2.2 Installation 2.3 User interface 3.0 MENU OPTIONS 3.1 About OVIP menu 3.2 File menu 3.2.1 a word on file formats 3.2.2 opening an image file 3.2.3 importing an image 3.2.4 creating a new image 3.2.5 duplicating an image 3.2.6 saving an image 3.2.7 printing an image 3.2.8 exiting OVIP 3.3 Edit menu 3.3.1 copying image data 3.3.2 pasting an image 3.3.3 clearing an image 3.3.4 converting a color image to monochrome 3.4 Analysis menu 3.4.1 point values 3.4.2 intensity profiles 3.4.3 perspective plots of intensity 3.4.4 image statistics 3.5 Enhance menu 3.5.1 histogram equalization 3.5.2 linear stretch 3.5.3 interactive binary threshold 3.5.4 image scaling 3.5.5 image rotation, mirroring, and transposition 3.6 Filter menu 3.6.1 high-pass filtering 3.6.2 low-pass filtering 3.6.3 order statistics filtering 3.7 Draw menu 3.7.1 palette manipulation 3.7.2 drawing tools 3.8 Miscellaneous menu 3.8.1 changing the cursor REGISTRATION FORM CUSTOMER SURVEY REGISTRATION INFOMATION ======================= Copyright OVIP is a shareware product. You are granted the right to distribute this software freely, provided you always distribute the executable program along with all of the original documentation and provided you do not charge for the software. You may not alter any file nor may you modify the package through the addition or omission of any file. How to register You are granted a limited license to use this product on a trial basis for a period of 15 days. If you wish to continue using the product after this trial period, you must register by sending twenty dollars ($20) US to: OVIP 1.0 Registration Oviparous Software P.O. Box 611992 San Jose, CA 95161-1992 A registration form at the end of this document is provided for you to fill out and mail along with your registration fee. Why you should register OVIP 1.0 took a considerable amount of work to complete. You are obligated, both morally and legally, to adhere to the terms of use outlined above. What you get for registering When you register, you will receive a letter confirming the receipt of your registration fee. By registering, you are entitled to use all releases of OVIP in the version 1.X series. In addition, you will be able to upgrade to future versions at a discount rate. Limitation of liability In no event shall Oviparous Software be liable for any damages whatsoever arising out of the use or inability to use OVIP 1.0 and any of its accompanying files. Because some states do not allow the exclusion of liability for consequential or incidental damages, the above limitation may not apply to you. Technical support Technical support is currently available only by mail. All problems and queries will be answered promptly. Please provide as much detail as possible (preferably including any image files necessary to recreate the problem). As well, please provide complete details of your computer's configuration. Send your support questions to: OVIP 1.0 Technical Support Oviparous Software P.O. Box 611992 San Jose, CA 95161-1992 1.0 GENERAL =========== 1.1 About this document This document serves to inform the user of the functions performed by OVIP 1.0. The first chapter gives a brief history of why OVIP was created. The second chapter describes the hardware and software requirements of OVIP 1.0. As well, the user interface is also described. Chapter three is broken into sections that correspond to the pull-down menus in the graphical user interface. Each section has subsections that roughly correspond to the menu items in each pull-down menu. The functions of each menu item are described in detail in their respective subsection of chapter3. At the end of the manual is a customer survey that you are strongly encouraged to fill out after you have used OVIP 1.0 for a few hours. 1.2 About OVIP OVIP was created for the purpose of displaying, analyzing, and manipulating images on PC-AT compatibles with SVGA video systems capable of displaying at 640x480 pixels with 256 colors. It is aimed specifically at "high-end" systems (those with SVGA, mouse, and substantial amounts of memory). While many of the image filtering and enhancement functions are useful only for gray-scale images, overall OVIP was designed for use with both gray-scale and color images. 2.0 RUNNING OVIP ================ 2.1 Hardware requirements The following minimum system requirements are needed to run OVIP 1.0: 1) Super VGA card with enough memory (usually 512K or more) to use the 640x480x256 mode. The following video cards are currently supported: Paradise Trident Orchid Prodesigner II (Tseng ET4000) ATI 2) Super VGA monitor (color recommended). 3) 80286, 80386, or 80486 CPU 4) DOS 4.1 or better 5) Microsoft mouse (or compatible) 6) Some extended memory. 7) Epson RX series printer (optional) When an image is loaded, it resides entirely in extended memory. There is no lower limit to the amount of extended memory that your system must have to run OVIP. The more extended memory your system has, the more (or larger) images can be loaded at the same time. If no extended memory is available, then it will not be possible to load any images. Extended memory is used directly without conforming to the XMS standard. Thus if HIMEM.SYS is installed, it will appear to OVIP that no extended memory is available. The call to install HIMEM.SYS usually is made in your CONFIG.SYS file. By commenting out the call to install HIMEM.SYS, you will be able to use OVIP. 2.2 Installation OVIP 1.0 is released with two files: OVIP1.EXE OVIP1.DOC The first file is the executable and the second file is the ASCII text version of this document (the users manual). You may run OVIP from any floppy or hard disk. Once you have copied OVIP1.EXE into a suitable directory, go to that directory (using the change directory command) and simply type 'OVIP1'. There are currently no command-line options in OVIP. 2.3 User interface It is assumed that the user has had enough experience with graphical user interfaces to be familiar with the operation of a mouse (including functions such as "clicking on" objects), pull-down menus, dialog boxes, and windows. OVIP 1.0 has its own graphical user interface. The interface consists of three main features: 1) The menu bar 2) Windows 3) Dialog boxes When OVIP is first started, only the menu bar and mouse cursor will be displayed. The menu bar is located at the top of the screen and displays a series of text strings horizontally across the screen. Clicking on one of these text strings causes the corresponding pull-down menu to appear. To select an item from a menu, click on the menu and drag the cursor to the menu item, then release the mouse button. Once a menu item is selected, an action of some sort will usually occur. Dialog boxes are used as the primary means of getting information from the user. Dialog boxes are static graphics objects and the presence of one on the screen precludes the use of any other graphical object (including the menu). Dialog boxes come in many forms and are described in detail in chapter 3. Windows are used to display images, as well as a few other things (such as the palette). Windows differ from dialog boxes in that they are not static. Windows may be moved around, and the presence of one does not preclude the use of other graphics objects. When several windows exist, they may overlap each other. An occluded window may be brought to the front by clicking on it. The front-most window (the current window) will be used in all processing functions selected. The upper left box of all windows is used to close the window. The drag bar (which also displays the window's title) is used to move the window around. Windows that are used for images have additional features. The upper right corner of an image window is used to display the image, centered on the screen, on a black background (no other images will be visible, nor will the menu bar or cursor). Clicking the mouse button will restore the graphics state of the program. The lower right corner is used to resize the image window. The scroll-bars may be used when the dimensions of the image exceed the dimensions of the window. As with many programs, the best way to understand the OVIP user interface is to try it out and learn as you go. 3.0 MENU OPTIONS ================ 3.1 About OVIP menu This menu item starts a series of dialog boxes that treat the user to a rendering of the illustrious Oviparous Software logo. As well, the version number, copyright, and registration information are given. 3.2 File menu 3.2.1 a word on file formats In addition to raw binary (or raster) images, OVIP 1.0 is capable of loading and storing images under three different file formats. One of the main advantages of using one of the formatted file types is that the image parameters (size, radiometric resolution, color lookup table (LUT)) need not be re-entered every time the image is loaded. A secondary benefit of using a file format is the possibility of incorporating data compression into the format specification to reduce the amount of space needed to store the image. There are dozens of competing file formats in use today. OVIP 1.0 uses the following three image file formats; GIF, TIFF, OVIP. GIF (an acronym for Graphics Interchange Format) was developed by Compuserve. GIF was chosen because of its popularity (especially in the PC arena). OVIP 1.0 only supports the GIF87a format. The more recent GIF89a format is not yet supported. The GIF format is based on a compression algorithm known as LZW (the initials of the authors). TIFF (an acronym for Tag Image File Format) was developed jointly by Aldus and Microsoft. TIFF was also chosen to be included in OVIP 1.0 because of its popularity across many platforms. TIFF is capable of storing images in a wide variety of ways (both compressed and uncompressed). OVIP 1.0 uses TIFF Rev. 4.0 tags and only uses a somewhat minimal set of tags. Only uncompressed TIFF files are supported. Thus, most TIFF files created by OVIP will be portable, however, some TIFF files (especially compressed ones) created by other programs may not be readable by OVIP. The OVIP format was created to address some of the short- comings of the other two file formats. Similar to the GIF format (but simpler), it has a fixed-length header. Unlike GIF, it can be used to store images either compressed or uncompressed. The compression algorithm used is a combination of DPCM and run-length coding, coupled with variable-length coding (shift-codes). Given the choice of file formats, which one is best for you? Obviously it depends on your application. The first question is whether to compress or not compress. Compression adds a considerable delay when loading and storing images. This is because of the computation required to unpack and decode (or pack and encode when saving) the image data. So, if you have lots of space on your hard disk and you want to load images frequently, use the OVIP uncompressed or TIFF formats. If your disk space is limited (this is especially true when storing images on a floppy disk) or if you only access the image infrequently, use the OVIP compressed or GIF formats. If you decide to use a compressed format, you must choose between the OVIP compressed and GIF formats. Both formats, as currently implemented, take about the same time to load an image. One approach to deciding which format to use is to save the image using both formats and delete the larger of the two files. The LZW algorithm used in GIF files was designed to recognize patterns. It gathers statistics on the image data, on-the-fly, in the form of a table that records strings that have been encountered. Once the string table gets too large, it is reset and starts to get filled again. Thus, this algorithm is fairly adaptive. Unfortunately, this algorithm is only capable of matching EXACT patterns. This becomes a serious problem for digitized video images containing many quantization levels and even small amounts of background noise. OVIP, on the other hand, gathers all the statistics, up front, in a single pass through the image. It then uses the statistics to determine the parameters that will optimize the performance (i.e. maximize the compression) of the algorithm. Thus, OVIP is slower at saving files than GIF, and the compression technique is less adaptive since global image statistics are used. However, since the statistics are precomputed, OVIP compressed files load faster than GIF files. This is important since images are usually saved once and then loaded many times. Because OVIP uses DPCM, it is much more robust when noise is added to the image. Unlike GIF files, the OVIP algorithm is capable of recognizing when it cannot compress an image and will then use its uncompressed format. GIF will apply its algorithm to an image regardless of the results. This means that GIF files are sometimes larger compressed than the original uncompressed binary file! Unfortunately, there is no fast method to determine which format to choose. A number of images were downloaded from BBSs and Usenet. Almost all of these images were color and with varying amounts of radiometric resolution. The GIF LZW compressor consistently performed marginally better than the OVIP compressor. Next, a series of large (512x480) monochrome images were taken using a CCD camera and an 8-bit frame-grabber. In this case the OVIP compressor consistently compressed the images to just over half their original size. The GIF compressor consistently performed worse than the OVIP compressor and in one case actually used 20% more disk space than the original binary image. Note that both of these formats are lossless, meaning that when compressed and decompressed, the pixel values are identical to those prior to compression. Another issue in choosing a file format is portability. TIFF was developed to maximize the flexibility of the format. This flexibility approach was taken to such an extreme that the cost to the developer trying to use all tag types becomes excessive. This problem is compounded by the open-ended nature of the file structure that allows any user to obtain a set of unique tags for their personal definitions. Thus, TIFF files of any complexity will probably not be very portable. OVIP, being a new entrant into the image file format arena is, on the surface, not very portable. When uncompressed OVIP is used, the raw binary image data is relatively easy to extract. The uncompressed OVIP file format is shown below: +------------------------------+ | 256 Byte Header | |------------------------------| | 256*3 Byte 8-bit Color LUT | |------------------------------| | Image Data | +------------------------------+ Thus, by stripping off the first 1024 bytes of the file, the raw image data may be directly accessed. The OVIP compressed format requires a program capable of decoding that data. The OVIP format may be used without royalty payment, so long as proper acknowledgment is made to Oviparous Software. Complete specifications (including documented 'C' files) are available free of charge by sending a floppy disk and SASE to: OVIP 1.0 Developers Documentation Oviparous Software P.O. Box 611992 San Jose, CA 95161-1992 Of the three formats, GIF is currently the most widely used. Raw binary images are also very portable, but require the user to remember the image parameters. 3.2.2 opening an image file The OPEN menu item calls up a dialog box with several controls. At the top of the dialog box is the current directory path. The boxes directly below the path show the files (on the right) and the sub-directories (on the left). Clicking on a file will highlight it. Clicking on a sub-directory or disk will immediately change the current path, causing the file and directory boxes to be refreshed. The user may move through the directory tree until the desired image file is located. Below the file box are a set of buttons that allow the user to select the file type (GIF, TIFF, OVIP). The default setting is AUTO DETECT. If the image files conform to their specifications, the user should never have to explicitly select a file format. Once the appropriate format has been selected, the user selects the file from the file box (the highlighted file is the one that will be opened). To open the selected file, click on the OPEN button. Pressing CANCEL will abort the process. Once the OPEN button has been pressed, the image will be loaded and placed in a window which will be the current window. Note that when loaded using AUTO DETECT, the name of the file is irrelevant, the file format is detected using the first few bytes of the file. Also note that when an image is loaded, its pixel values and LUT are re-mapped (if necessary) to make LUT[0] black and LUT[255] white. 3.2.3 importing an image The IMPORT function is used to load 8 bits/pixel images stored in a binary raster format. The dialog box for the IMPORT function is very similar to that of the OPEN function (see 3.2.2). The only difference is that the file format selection controls have been replaced with four text boxes in which the user must enter the size of the file header, the number of pixels per scan line, the number of lines per band, and the number of bands. Once an image has been selected, and the OPEN button is pressed, the image will be loaded. The number of bytes specified in the header entry will be skipped, and then the data for the image is read in and displayed in a new window (which will be the current window). Note that since raw binary images do not carry an associated LUT, a gray scale LUT will be automatically assigned to the image. Note also that, although OVIP 1.0 can read in multiband images, only the first band will be displayed. 3.2.4 creating a new image The NEW function allows the user to create a new image. A dialog box appears which allows the user to select the horizontal and vertical size of the image. As well, the user can select one of two palettes for the image (gray scale or color spectrum). Finally, the user may choose the fill color of the image. When the OK button is pressed, the specified image is created (the image is a solid fill of the specified color). A window then appears with the new image. 3.2.5 duplicating an image When DUPLICATE is selected, the current window is checked. If it is not an image window (or if there are no windows) the user is alerted and nothing happens. Otherwise, a copy of the image in the current window is made in memory and the image is then displayed in its own image window. 3.2.6 saving an image When selected, the current window is checked. If it is not an image window, or if no windows exist, the user is alerted and no action is taken. Otherwise, a dialog box appears. The dialog box is similar in appearance to those for opening and importing images (see 3.2.2 and 3.2.3). The current path is displayed at the top of the dialog box. Below the path, to the left, is a box listing the sub- directories and disks. This box is used to move around in the DOS directory tree. Thus a file may be saved anywhere on the disk. The name of the file is to the right of the directory box and is contained in two text boxes (one for the 8-character file name, and one for the 3-character extension). Below the directory box is a set of buttons that allow the user to select the format that the image is to be saved as (see 3.2.1). Note that selecting a format causes the extension of the file name to be set to the default for that file format. Thus, in cases where "non-standard" extensions are used, always select the file format prior to changing the name. Pressing the SAVE button initiates the file writing routine. If the named file already exists, the user is prompted for a decision as to whether or not to overwrite the existing file. Note that, regardless of the number of bits per pixels of radiometric resolution the image originally had when loaded, it will always be represented internally and saved using 8 bits per pixel. 3.2.7 printing an image Image printing (hardcopy) has only been implemented on an Epson RX series dot-matrix printer. Unfortunately, I've got no other printers to do tests with. If you really need printer support, make sure you fill in your customer survey and let your voice be heard! 3.2.8 exiting OVIP Selecting the QUIT option terminates OVIP 1.0. All images currently on the screen will be lost. OVIP 1.0 will return the graphics state to its original mode upon termination. 3.3 Edit menu 3.3.1 copying image data Before COPY is selected, the user must define a rectangular region within the current window. This is done by clicking on a point within the window and dragging the cursor to a second point. In the process, a rectangular outline will be interactively updated. Upon release of the mouse button, the outline will remain until another action is taken (at which time the outline will be erased). If the action immediately following the area selection is a COPY command, the set of pixels within the rectangle is copied into OVIP's internal copy storage area (hidden from the user). The copied data will remain there until the COPY option is selected again. 3.3.2 pasting an image Like COPY (see 3.3.1), PASTE requires the user to use the mouse to define a rectangular region within the current window. If the region defined is smaller than the image previously copied, the image will be clipped on the right and bottom so that it will fit in the paste rectangle. If the rectangle exceeds the size of the image previously copied, then the copied image will be placed in the upper left corner of the paste rectangle. 3.3.3 clearing an image When CLEAR is selected, the current image will be cleared by setting all of its pixels to the current color. The default current color is 255. Actually, the term "current color" is a misnomer. Perhaps "current pixel value" is more accurate. In any event, the current color is set using the palette (see 3.7.1). 3.3.4 converting a color image to monochrome When COLOR->B&W is selected, the current image is converted to a black and white image. This is done by mapping each pixel in the image using: new_pixel_value = (LUT[RED][old_pixel_value] + LUT[GREEN][old_pixel_value] + LUT[BLUE][old_pixel_value]) / 3 The image is then given a gray scale LUT and redisplayed in its original window. 3.4 Analysis menu 3.4.1 point values When POINT VALUES is selected, the menu bar is erased. In its place the coordinates of the cursor are displayed along with the pixel value at that coordinate. These values are updated as the user moves the cursor around the screen. When the mouse button is pressed, the process stops and the menu bar is returned to its normal state. 3.4.2 intensity profiles The PROFILE option requires two points to be input by the user. The points are entered using the mouse. When first selected, the menu bar disappears and the coordinates of the cursor are displayed in its place. The coordinates of the first point are updated until the mouse button is pressed. Once pressed, the second coordinate is displayed. As the mouse is moved around further (with the mouse button still depressed), the second coordinate is updated. As well, a line between the first coordinate and the second coordinate is displayed and updated as the cursor is moved. Finally, when the mouse button is released, the menu bar is restored and the line between the coordinates is erased. Next, a new image is displayed which is a plot of the pixel values that were under the line between the two points. The axis of ordinates of the plot is the pixel value (from 0 to 255) and the axis of abscissas is the pixel (where pixel 0 is the pixel under the first point and the last pixel is that under the second point). Hence the term intensity profile. This profile plot is itself an image and may be processed and saved as such. 3.4.3 perspective plots of intensity The PERSPECTIVE PLOT option, like the intensity profile option (see 3.4.2), also requires two points. The two points are selected interactively using the mouse (see 3.4.2) and define a rectangle. The set of pixels under the rectangle are then plotted using a perspective projection and a "wire-frame" to give the appearance of a 3-D surface in which the height component is the pixel value. The resulting plot is displayed in an image window and is thereafter treated as an image. 3.4.4 image statistics When the STATISTICS option is selected, the image in the current window is run through an elementary statistical analysis. An image window is then displayed showing a histogram of the image (this gives details of the relative frequency of the pixel values). As well, the maximum, minimum, mean, and standard deviation of the pixel values are shown. The image window containing the histogram plot with the statistics is thereafter treated the same as any other image. 3.5 Enhance menu 3.5.1 histogram equalization The EQUALIZE function is a commonly used image enhancement technique. It is applicable only to images with a gray- scale LUT. Applying this function to a color image will most likely lead to an unrecognizable result. The histogram equalization process is a contrast enhancement technique which has the effect of transforming the image so that the histogram is flat (uniform distribution of pixel values). Of course, because of the discrete nature of the image, the histogram will be only approximately flat. The histogram equalization process is documented in [Schowengerdt R.A., "Techniques for Image Processing and Classification in Remote Sensing" Academic Press, 1983]. When selected, the current image is transformed and the pixel values of the image are re-mapped. The transformed image is then displayed in the original image window. 3.5.2 linear stretch LINEAR STRETCH is another commonly used contrast enhancement algorithm. Like the histogram equalization technique (see 3.5.1), this method is only applicable to black and white (gray-scale) images and will produce unpredictable results if applied to color images. The actual algorithm used is very simple. First the minimum and maximum pixel values are found. Then all pixels in the image are re-mapped according to: new_value = (255 * (old_value - minimum_value) / (maximum_value - minimum_value)) The transformed image replaces the original image in memory, after which the window is refreshed. 3.5.3 interactive binary threshold The THRESHOLD option calls up the binary threshold window (or brings it to the front if it was already present). Within the threshold window are three sliding controls. The controls represent the thresholds for the red, green, and blue components of the RGB color space. If a pixel value is less than the threshold value, then the pixel value is dropped to zero. Otherwise it is raised to its maximum (255). Hence, for each of the primary colors, the image is binary. Note that the thresholding process is applied to the LUT of the most current image window. The binary threshold window may remain on-screen indefinitely, but the controls and thresholds are applied only if the threshold window is the current window. The user may change the threshold interactively by clicking on the sliding controls. The text boxes to the right of the sliding threshold controls hold the threshold value. The values in these boxes may be altered in order to effect a change on the threshold. If the "coupled" button is activated, all three thresholds will be given the same value and will retain the same value as any control is moved. By pressing on the APPLY TO IMAGE button, the threshold is applied to the most current image by altering all of its pixel values according to the threshold chosen. The binary threshold window will close itself after APPLY TO IMAGE has been pressed. 3.5.4 image scaling Selection of the SCALE option calls up a dialog box with several controls. The two buttons at the top allow the user to choose whether to allow independent scaling along the two axes of the image. By default, the image is scaled the same on both axes. Below this button are the text box(es) (two if independent scaling is chosen, one otherwise) in which the user is to enter the scale factor(s). The next two buttons determine the interpolation method used in the scaling process. Bilinear interpolation produces substantially better results than nearest-neighbor interpolation, however the computation time required is increased. The user is referred to [Schowengerdt R.A., "Techniques for Image Processing and Classification in Remote Sensing" Academic Press, 1983] for details on these interpolation methods. Once a scale factor and interpolation method are chosen, pressing the OK button initiates the scaling process, after which the scaled image is re-displayed in its window. 3.5.5 image rotation, mirroring, and transposition The ROTATE option calls up a dialog box with a choice of four transformations; 90 degree rotation, horizontal flip, vertical flip, and transpose. The user is to select one of these transformations and then press the OK button, after which the image will be transformed and re-displayed in its window. The 90 degree rotation is a counter clockwise rotation which has been implemented as a horizontal flip followed by a transpose 3.6 Filter menu The filters described in this section are only useful for gray-scale images. Using them on color images will give unpredictable results. The interested reader is referred to [Pratt W.K., "Digital Image Processing", Wiley Interscience, 1978] for detailed descriptions of the filters discussed below. 3.6.1 high-pass filtering When the HIGH-PASS option is chosen, a dialog box prompts the user for the kernel type (Sobel, Prewitt, or simple) and for the operation (gradient magnitude, horizontal derivative, vertical derivative, or orientation). When used in conjunction with the THRESHOLD option (see 3.5.3), these filters can be used for edge detection. 3.6.2 low-pass filtering The LOW-PASS option allows the user to select a low-pass filter. A choice of four filter kernels is available to select from. The 2x2 and 3x3 kernels tend to blur the image evenly in both directions. The 3x1 (horizontal) and 1x3 (vertical) filters are directional. These filters are typically used for noise reduction in images. 3.6.3 order statistics filtering The ORDER STATISTICS option allows the user to choose one of three order statistics filters; the median filter, the maximum filter (or dilation), or the minimum filter (or erosion), As well, the user may select the direction of the filter. The median filter is an edge-preserving smoothing filter (that is, it tends to reduce sharp noise spikes without blurring edges). The minimum and maximum filters are morphological filters and together are useful for skeletonizing binary images. 3.7 Draw menu 3.7.1 palette manipulation The SHOW PALETTE option displays the palette window (or makes it the current window if it is already on-screen). The palette window initially displays a gray-scale palette. The controls to the right allow the user to choose a different palette. By pressing the box labeled IMAGE, the LUT of the most current image window is transferred to the palette LUT. The APPLY TO IMAGE button copies the palette LUT to the most current image window. The combination of these two controls allows the user to transfer LUTs across images. The INVERT box "inverts" the palette LUT according to: NEW_LUT[i] = OLD_LUT[255-i] (0 < i < 255) Note that LUT[0] (black) and LUT[255] (white) are never changed. This is because doing so would spoil the OVIP graphical user interface which depends on having these two LUT values stable. The ROTATE box causes the palette to be rotated according to: NEW_LUT[i] = OLD_LUT[i+1] (0 < i < 254) NEW_LUT[254] = OLD_LUT[1] This rotation is synchronized with the computer's clock- calendar which counts time in divisions of 1/100 second. The [+] and [-] boxes beside the rotate box allow the user to speed up and slow down the rate of the palette's rotation. The text boxes on the left of the palette window are used to alter the palette LUT. A pixel value may be chosen by selecting the value box and typing the value in, or by simply clicking on the palette at the appropriate value. Either way, the value becomes the current color (see 3.3.3) and the red, green, and blue color components are shown. These components may be altered to change the color of the chosen pixel value. 3.7.2 drawing tools Unfortunately, this feature did not get developed in time for this release of OVIP. If you really need drawing tools, make sure you fill in your customer survey and let your voice be heard! 3.8 Miscellaneous menu 3.8.1 changing the cursor The default cursor is the arrow cursor. Selecting the CHANGE CURSOR option displays a dialog box with all the available cursors. Currently there are three cursors to choose from. By clicking on one of them, the cursor selected becomes the cursor that will be used until another call to CHANGE CURSOR is made. REGISTRATION FORM ================= Registration for OVIP 1.0 ___________________________________________________ NAME ___________________________________________________ ORGANIZATION ___________________________________________________ STREET ___________________________________________________ CITY ___________________________________________________ STATE/PROVINCE ___________________________________________________ COUNTRY ___________________________________________________ ZIP/POSTAL CODE Please enclose $20 (US), making check payable to Oviparous Software. Please do not send cash. Send to: OVIP 1.0 Registration Oviparous Software P.O. Box 611992 San Jose, CA 95161-1992 CUSTOMER SURVEY =============== Oviparous Software is always looking for ways to improve its products. An integral part of this process is getting feedback from you, our customer. If you have used this product, please take the time to fill in the survey and mail it in with your registration. Even if you do not wish to register, your input is welcome and you are encouraged to fill out the survey and send it in. Q1) Where did you obtain this product: (circle one) (a) bulletin board (BBS) (b) commercial information service (c) from a friend/co-worker (d) from a mail-order shareware disk vendor (e) from a retail shareware disk vendor (f) other (specify) ___________________________ Q2) Approximately how many hours (total) have you used this product? (circle one) (a) < 1 hour (b) < 10 hours (c) > 10 hours Q3) Have you found this product to have: (circle one) (a) no bugs (b) minor bugs (c) major (program-crashing) bugs (d) so many bugs the product is unusable Q4) Would you recommend this product to someone else? (circle one) (a) yes (b) no (c) maybe Q5) What is your primary use for this product? (circle one or two) (a) viewing images (b) file format conversion (c) compression for archival purposes (d) manipulation of images (e) analysis of images (f) other (specify) ________________________ Q6) Which of the following are the most important features that need to be added to this product? (circle two) (a) increase speed (b) increase user-friendliness (c) drawing tools (d) image printing (specify) ___________________ (e) more filters and processing (f) more analysis tools (g) greater color support (h) more file formats (specify) ________________ (i) more hardware support (specify) ____________ (j) other (specify) ____________________________ Q7) How important would phone-in technical support be? (circle one) (a) very important (b) moderately important (c) not too important (d) not important at all Q8) How do you feel about the price of this product (circle one) (a) incredibly good price (b) good price (c) competitive price (d) expensive (e) outrageously over-priced Q9) Overall, on a scale of 1 to 10, where 10 is total satisfaction and 1 is total disgust, how would you rate this product? (enter rating below) ______________ PLEASE LIST YOUR SYSTEM SPECIFICATIONS: CPU: ()8086/8088 ()80286 ()80386 ()80486 CPU SPEED: _____ MHz FLOPPIES: _____ 5.25" _____ 3.5" HARD DRIVE: _____ Mbytes MEMORY: Expanded _____ Mbytes Extended _____ Mbytes GRAPHICS: ()CGA ()EGA ()VGA ()SVGA 256K ()SVGA 512K ()SVGA 1024K COMMENTS: _________________________________________________ _________________________________________________ _________________________________________________ _________________________________________________ _________________________________________________ _________________________________________________