: Over 30 step-by-step guides for practical experimentation. Support Material
Practical Image and Video Processing Using MATLAB (IEEE Press) : Available at for approximately ₹17,083 Digital Version (Kindle/eBook) : The 1st edition is available on with enhanced typesetting and page-flip capabilities Alternative Practical Guides
Practical Image and Video Processing Using MATLAB: A Complete Guide practical image and video processing using matlab pdf new
To get the most out of educational resources regarding practical image processing, follow a structured workflow:
Where to Buy the "Practical Image and Video Processing" Book : Over 30 step-by-step guides for practical experimentation
% Example conceptual workflow for loading a pre-trained detector % Load a pre-trained YOLOv4 object detector detector = yolov4ObjectDetector('tiny-yolov4-coco'); % Read a test image test_img = imread('highway.jpg'); % Run the deep learning detector [bboxes, scores, labels] = detect(detector, test_img); % Annotate and display detections annotatedImg = insertObjectAnnotation(test_img, 'rectangle', bboxes, cellstr(labels)); imshow(annotatedImg); Use code with caution. 6. Performance Optimization and Acceleration
MATLAB serves as an industry-standard environment for practical image and video processing, leveraging tools like the Image Processing Toolbox to treat visual data as multi-dimensional matrices for efficient algorithm implementation. From basic pre-processing and video analysis using background subtraction to advanced machine learning with Convolutional Neural Networks, the platform enables researchers to transform raw pixels into actionable data. labels] = detect(detector
The book is strategically divided into two parts to balance static and dynamic visual processing: