Assignment #3
\n\u2022 Description : You need to implement a program to detect edges in an input image using
\nLoG (Laplacian of Gaussian) method.
\no Input : The following five values from keyboard.
\n\uf0a7 Input image file name (square size, and .ppm format (P6)).
\n\uf0a7 mask size (i.e., 1(3×3), 2(5×5), 3(7×7), or 4(9×9)).
\n\uf0a7 s value for mask function (integer).
\n\uf0a7 k value for mask function (integer).
\n\uf0a7 threshold value for edge detection (integer).
\no You can use the following mask function.
\nint mask(int k, int s, int x, int y)
\n{
\ndouble temp, ans;
\ntemp = (double)(x * x + y * y) \/ (double)(s * s);
\nans = (double)k * (2.0 – temp) * exp(-temp \/ 2.0);
\nreturn(nearest_int(ans));
\n}
\no Your program needs to do the following basically:
\n\uf0a7 Get input value (image file name) above.
\n\uf0a7 Perform \u2018ReadPPM\u2019 for input image.
\n\uf0a7 Perform \u2018CreatPPM\u2019 for output image.
\n\uf0a7 Initialize all pixel values of output image as white (255).
\n\uf0a7 Generate mask (i.e., array) using input mask size, k, s, and mask function.
\n\uf0a7 Convolute input image with the mask and save the results as an array,
\n\uf0a7 Apply an input threshold value to the above array from the convolution
\nhorizontally to find edges, and apply an input threshold value to the above
\narray from the convolution vertically to find edges.
\n\uf0a7 If it satisfies the given threshold, put a black pixel into the output image
\ncreated by \u2018CreatPPM\u2019 above using \u2018PutRPixel, PutGPixel, and PutBPixel\u2019.
\n\uf0a7 Perform \u2018WritePPM\u2019 for output image.
\no Output : an image file (.ppm format, i.e., LoG.ppm) as edge detection result, in which
\nedge lines are black pixels, and all others are white pixels.
\no Testing : Some images will be provided in Canvas for your testing.
\n\u2022 Programming Language : You need to use C and the related files provided ONLY.
\n\u2022 Submission :
\no You only need to submit C file that you implement. If your first name is \u2018abcde\u2019 and
\nyour last name is \u2018fghij\u2019, then the C file name should be abcfgh3.c, which is the first 3
\nletters of your first name and the first 3 letters of your last name combined with the
\nnumber 3.
\no In the beginning of your C file, you need to provide Assignment #, your name, good
\nworking values of mask size, s value for mask function, k value for mask function,
\nthreshold value for edge detection for your program, which compiler (i.e., Tiny C, or
\nVisual Studio) used, and other comments using \/* \u2026 *\/.
\n\u2022 Grading :
\no No resubmission is allowed in any case after the due date, or after the grading.
\no If your C file is not compiled by either Tiny C or Visual Studio, then 50% will be taken
\noff. We will not compile your program using any other compiler except Tiny C or
\nVisual Studio.
\no If your program is not providing corresponding edge detection results, then 40% will
\nbe taken off.
\no If your C file is 50 % or more similar with other submitted C files, the scores of all
\nsubmissions will be ZERO %.
\no If your C file is 50 % or more similar with any copies in the internet, the score of your
\nsubmissions will be ZERO %.
\no If you do not use the provided modules (files in test.zip) in your program, then 50%
\nwill be taken off for fairness purpose even if your C file is compiled and generates
\ncorrect outputs.<\/p>\n","protected":false},"excerpt":{"rendered":"
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