Digital Image Processing Using Scilab Pdf -

// Opening (erosion followed by dilation) opened = imopen(binary, se);

// Apply filter F_filtered = F_shifted .* H; F_restored = ifftshift(F_filtered); filtered_img = abs(ifft2(F_restored)); imshow(uint8(filtered_img)); // Full image processing pipeline function processed = process_image(path) // 1. Read img = imread(path); // 2. Convert to grayscale if size(img, 3) == 3 img = rgb2gray(img); end digital image processing using scilab pdf

median_filtered = medfilt2(gray_img, [3 3]); // Create Gaussian kernel (approx) gaussian_kernel = [1 2 1; 2 4 2; 1 2 1] / 16; gaussian_filtered = imfilter(gray_img, gaussian_kernel); 6. Edge Detection 6.1 Sobel Operator // Sobel kernels sobel_x = [-1 0 1; -2 0 2; -1 0 1]; sobel_y = [-1 -2 -1; 0 0 0; 1 2 1]; Gx = imfilter(double(gray_img), sobel_x); Gy = imfilter(double(gray_img), sobel_y); // Opening (erosion followed by dilation) opened =

// 6. Threshold processed = edges > 50; imshow(processed); end Edge Detection 6

// Install SIVP from ATOMS (Scilab’s package manager) atomsInstall("SIVP") // Restart Scilab after installation // Load the toolbox exec("SCI/modules/sivp/macros/sivp_loader.sce", -1) Alternatively, use core functions ( imread , imshow , imwrite ) available in recent Scilab versions. 3.1 Read, Display, and Write Images // Read an image img = imread('camera.jpg'); // Display image imshow(img);