Explore MATLAB source code curated for "交叉熵" with clean implementations, documentation, and examples.
Common image quality assessment metrics include entropy, weighted peak signal-to-noise ratio (WPSNR), weighted structural similarity (WSSIM), structural similarity index (SSIM), cross-entropy, and spatial frequency - these represent widely adopted evaluation criteria in image processing applications.
A MATLAB program for computing entropy and cross-entropy of binary images, designed to serve as an evaluation criterion when combined with other image segmentation methods. The implementation includes probability distribution calculation and entropy measurement algorithms for assessing image complexity.
Source code for optimizing multivariate Gaussian mixture models using cross-entropy method, provided for learning and practical implementation with detailed algorithmic explanations.
For moving target detection and recognition in infrared image sequences, we propose an original approach addressing infrared target detection in complex dynamic scenes. The method utilizes cross-entropy-based transition zone extraction to enhance detection accuracy and robustness, implemented through entropy thresholding and morphological operations for precise target segmentation.