MATLAB Implementation for Basic Shape Recognition
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In this documentation, I present an extended version discussing a basic shape recognition program. The implementation employs straightforward algorithms combined with MATLAB's Image Acquisition Toolbox for image processing tasks. This program enables shape identification and subsequent operations, with applications spanning computer vision, artificial intelligence, and machine learning domains. The core implementation involves image preprocessing using imread() and rgb2gray() functions, followed by edge detection algorithms like Sobel or Canny through edge() function. Shape classification leverages geometric property analysis using regionprops() for feature extraction. Through this program, users can gain deeper insights into shape recognition principles and applications, enabling knowledge transfer to custom projects. This enhanced version maintains all core concepts while providing technical implementation details.
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