Canny Edge Detection Operator Source Code for Image Processing
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In your graduation thesis, you can utilize the Canny operator source code for edge detection implementation. This algorithm employs a multi-stage approach including Gaussian filtering, gradient calculation, non-maximum suppression, and double threshold detection to accurately identify edges in images. The codebase provides a modular structure where you can modify parameters such as Gaussian kernel size, gradient thresholds, and hysteresis processing to meet your specific research objectives. Additionally, you can explore comparative analysis with other edge detection algorithms like Sobel, Prewitt, or Laplacian operators to evaluate performance metrics including precision, recall, and computational efficiency. By documenting your experimental methodology, parameter optimizations, and result analysis in detail, you can demonstrate comprehensive understanding of edge detection principles and showcase research innovation in computer vision applications.
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