How to perform image processing using MATLAB?

Question

John Williams · Accepted Answer

MATLAB makes image processing easy and powerful using the Image Processing Toolbox. You can perform operations like image enhancement, filtering, segmentation, edge detection, object tracking, and more.
Here&rsquo;s a basic workflow:


Read the image:



img = imread('image.jpg'); imshow(img);



Convert to grayscale (if needed):



gray = rgb2gray(img); imshow(gray);



Apply filtering (e.g., Gaussian blur):



blurred = imgaussfilt(gray, 2); imshow(blurred);



Detect edges (e.g., Canny method):



edges = edge(gray, 'Canny'); imshow(edges);



Segment objects using thresholding or region growing:



bw = imbinarize(gray); imshow(bw);



Label and count objects:



labeled = bwlabel(bw); stats = regionprops(labeled, 'Area', 'BoundingBox');

MATLAB also supports:


Real-time image acquisition (e.g., webcam input)


Image classification using deep learning (CNNs)


Feature extraction (e.g., corners, blobs, textures)

How to perform image processing using MATLAB?

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