edge finding kernel imfilter in matlab

To perform edge detection using a kernel (filter) in MATLAB, you can use the imfilter function. Here is an example code block:

main.m
% Define image and kernel
img = imread('my_image.jpg');
kernel = [-1 -1 -1; -1 8 -1; -1 -1 -1];

% Apply kernel to image
filtered_img = imfilter(img, kernel);

% Display original and filtered images
figure;
subplot(1,2,1); imshow(img); title('Original Image');
subplot(1,2,2); imshow(filtered_img); title('Filtered Image');
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In this code, we first define an image (img) and a kernel (kernel). The kernel we used here is known as the "Laplacian of Gaussian" (LoG) filter, which is frequently used for edge detection.

Next, we apply the kernel to the image using the imfilter function. This function performs convolution between the image and the kernel, which results in the filtered image (filtered_img).

Finally, we display the original and filtered images side by side using the subplot and imshow functions.

Note that there are many different kernels that can be used for edge detection, and the choice of kernel can have a significant impact on the results.