Explore MATLAB source code curated for "图像熵" with clean implementations, documentation, and examples.
MATLAB source code collection for fundamental image quality assessment metrics including image entropy calculation, image variance summation, and edge detection operator-based quality evaluation functions.
An image entropy-based automatic threshold segmentation approach that offers simplicity and fast processing speed, with sample implementation considerations
This MATLAB code demonstrates our novel edge detection algorithm. Simply run "demo" in MATLAB to visualize edge detection results. On a desktop computer, processing one image typically takes approximately 3 seconds. The implementation combines image entropy with pulse-coupled neural networks (PCNN) for enhanced edge detection accuracy. Based on research by Jiansheng Chen, Jingping He, and Guangda Su presented at the International Symposium on Image Processing in September 2010.