Color Image Segmentation Algorithm: Histogram-based Rough Segmentation and K-means Refinement

A color image segmentation algorithm that first performs coarse segmentation using histogram analysis, followed by refined segmentation using k-means clustering to obtain final segmentation results. The implementation involves histogram-based color distribution analysis and iterative k-means optimization for precise region identification.

K-Means-Based Color Image Segmentation Algorithm Implementation in MATLAB

Implementation of a color image segmentation algorithm in MATLAB based on K-means clustering principles, using straightforward programming statements for clear understanding and easy adaptation. This implementation can be directly applied to color cell image segmentation with relatively accurate results.