Explore MATLAB source code curated for "二维直方图" with clean implementations, documentation, and examples.
Image segmentation based on maximum fuzzy entropy threshold using 2D histogram, demonstrating superior segmentation performance compared to 1D maximum fuzzy entropy approaches, with S-function implementation for membership degree calculation
Image fuzzy clustering segmentation approach utilizing 2D histogram analysis with references to relevant algorithm research papers. Includes implementation insights for histogram processing and fuzzy clustering algorithms.
Transforming binary images into grayscale representations by employing neighborhood average 2D histograms to preserve enhanced image detail and information
Threshold-based image segmentation method employing 2D histogram analysis and chaotic particle swarm optimization algorithm for enhanced accuracy
An image segmentation algorithm based on two-dimensional histogram maximum entropy thresholding that selects optimal thresholds for effective image separation, featuring entropy calculation and threshold optimization implementations.
Fuzzy segmentation utilizing chaotic particle swarm optimization and 2D histogram oblique thresholding for image processing applications
Generating and analyzing two-dimensional histograms of images with MATLAB implementation