Explore MATLAB source code curated for "最佳阈值" with clean implementations, documentation, and examples.
MATLAB implementation of the basic OTSU algorithm for determining optimal image threshold values. This algorithm automates the process of finding the best threshold for image binarization by maximizing inter-class variance.
Using iterative method to find optimal threshold values for R, G, B color channels and perform segmentation on baboon.bmp image
This implementation utilizes genetic algorithms to determine the optimal threshold for road image segmentation, employing Otsu's maximum inter-class variance method as the selection criterion, with program execution achieving highly satisfactory segmentation results through evolutionary optimization.
Implementation of an information entropy-based iterative approach for optimal threshold determination, including referenced research papers and KSW entropy method programs. Both algorithms have been experimentally validated for accuracy and reliability.
Applying genetic algorithms with Otsu's method to automatically determine optimal thresholds for road image segmentation