Question

1. Write a function in Matlab (or Java) as follows:

function Img2=Convolution(Img, mask);

%Input: Img is the original image data matrix, mask is square matrix, could be 2x2, 3 x 3 or size

%Output: Img2 is the result image

2. Test the function.

Read an image file, apply the edge detection filters (i.e., masks) to see whether it works well. Try at least 3 filters: Sobel, Robert, Prewitt.

Answer 1

Screenshot of code and corresponding output :-

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Figure title says about type of filter applied...

Code in text format ..

function Img2=Convolution(Img, mask)

%Input: Img is the original image data matrix, mask is square matrix,

% could be 2x2, 3 x 3 or size

%Output: Img2 is the result image

clc;

img = imread(Img); % Reading the input file

if size(img,3) == 3

img = rgb2gray(img); % Conversion to grayscle if the image is rgb

end

Img2 = conv2(img,mask,'same'); % Applying 2d Convolution with mask

% imshow(Img2); %Showing the image

end