Edge Detection Based on Fuzzy Enhancement
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This article provides a comprehensive explanation of edge detection methods based on fuzzy enhancement and includes corresponding source code along with simulation images. The approach effectively improves edge detection accuracy and robustness through the implementation of fuzzy enhancement techniques. Specifically, the article details the underlying principles and algorithms of fuzzy enhancement, demonstrating simulation results across various scenarios to validate the method's effectiveness. The implementation typically involves fuzzy membership function transformation and enhancement operators applied to image gradients. Additionally, the article discusses potential applications and future improvement directions for advancing edge detection technology, including possible optimizations in fuzzy rule design and parameter adaptation mechanisms.
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