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목록Matlab (5)
Scientific Computing & Data Science
[Image Processing] Edge Detector / Laplacian
MATLAB CODE: "Laplacian.m" function Laplacian %% read an image img = imread('.\res\test_01.jpg'); img = rgb2gray(img); subplot(2,1,1); imshow(img); mask = [0 -1 0 ; -1 4 -1 ; 0 -1 0]; %mask = [1 1 1 ; 1 -8 1 ; 1 1 1]; %mask = [-1 -1 -1 ; -1 8 -1 ; -1 -1 -1]; [rSize, cSize] = size(mask); [nrow, ncol] = size(img); img = cast(img, 'double'); newImg = zeros(nrow,ncol); % Corners subMask = mask(2:3,2..
[Image Processing] Sharpening
MATLAB CODE: "Sharpening.m"function Sharpening %% read an image img = imread('./res/test_02.jpg'); img = rgb2gray(img); subplot(2,1,1); imshow(img); %mask = [-1 -1 -1 ; -1 9 -1 ; -1 -1 -1]; mask = [0 -1 0 ; -1 5 -1 ; 0 -1 0]; [rSize, cSize] = size(mask); [nrow, ncol] = size(img); img = cast(img, 'double'); newImg = zeros(nrow,ncol); % Corners subMask = mask(2:3,2:3); i = 1; j = 1; subMat = img(i..
[Image Processing] Gaussian Blurring
MATLAB CODE: "Gaussian.m"function Gaussian %% read an image img = imread('./res/test_02.jpg'); img = rgb2gray(img); subplot(2,1,1); imshow(img); mask = [1/16 1/8 1/16 ; 1/8 1/4 1/8 ; 1/16 1/8 1/16]; [rSize, cSize] = size(mask); [nrow, ncol] = size(img); img = cast(img, 'double'); newImg = zeros(nrow,ncol); % Corners subMask = mask(2:3,2:3); i = 1; j = 1; subMat = img(i:i+1,j:j+1); newImg(i,j) = ..
[Image Processing] Blurring
MATLAB CODE: "Blurring.m"function Blurring %% read an image img = imread('./res/test_01.jpg'); img = rgb2gray(img); subplot(2,1,1); imshow(img); mask = (1/9)*ones(3,3); [rSize, cSize] = size(mask); [nrow, ncol] = size(img); img = cast(img, 'double'); newImg = zeros(nrow,ncol); % Corners subMask = mask(2:3,2:3); i = 1; j = 1; subMat = img(i:i+1,j:j+1); newImg(i,j) = sum(sum(subMask.*subMat)); sub..
[Image Processing] Embossing
MATLAB CODE: "Embossing.m"function Embossing %% read an image img = imread('./res/test_01.jpg'); img = rgb2gray(img); subplot(2,1,1); imshow(img); mask = [-1 0 0 ; 0 0 0 ; 0 0 1]; [rSize, cSize] = size(mask); [nrow, ncol] = size(img); img = cast(img, 'double'); newImg = zeros(nrow,ncol); % Corners subMask = mask(2:3,2:3); i = 1; j = 1; subMat = img(i:i+1,j:j+1); newImg(i,j) = sum(sum(subMask.*su..