To explain locking and its accomplishment.

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Implement the code in MATLAB and send a picture of the implementation from within the program MATLAB code to analyze material shape % image = grayImage == using computer vision imread('material_image.jpg'); % Read the image rgb2gray(image); % Convert the image to grayscale BW = imbinarize(grayImage); % Convert the image to binary (black and white) Extract geometric properties (e.g., area % and bounding box) stats = regionprops (BW, 'Area', ; 'BoundingBox') Classify material based on shape % if stats. Area > 500 ; 'material = 'Plastic ; 'material = 'Wood else end ; disp(['The material is: ', material])

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Chapter 7, Problem 6RQ

To determine

To explain locking and its accomplishment.

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Implement the code in MATLAB and send a picture of the implementation from within the program MATLAB code to analyze material shape % image = grayImage == using computer vision imread('material_image.jpg'); % Read the image rgb2gray(image); % Convert the image to grayscale BW = imbinarize(grayImage); % Convert the image to binary (black and white) Extract geometric properties (e.g., area % and bounding box) stats = regionprops (BW, 'Area', ; 'BoundingBox') Classify material based on shape % if stats. Area > 500 ; 'material = 'Plastic ; 'material = 'Wood else end ; disp(['The material is: ', material])

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