How to perform image processing using MATLAB?

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arun147 - 2025-07-21T13:27:20+00:00
Question: How to perform image processing using MATLAB?

How to perform image processing using MATLAB?

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    • Expert Answer

    Profile picture of John Williams John Williams answered . 2025-11-20

    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’s a basic workflow:

    1. Read the image:

    img = imread('image.jpg'); imshow(img);

    1. Convert to grayscale (if needed):

    gray = rgb2gray(img); imshow(gray);

    1. Apply filtering (e.g., Gaussian blur):

    blurred = imgaussfilt(gray, 2); imshow(blurred);

    1. Detect edges (e.g., Canny method):

    edges = edge(gray, 'Canny'); imshow(edges);

    1. Segment objects using thresholding or region growing:

    bw = imbinarize(gray); imshow(bw);

    1. 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)


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