Revolutionizing Color Image Segmentation with Multi-Level Thresholding Technique!
The article discusses a method for segmenting color images using multiple thresholds. The researchers developed a technique that uses histograms to find these thresholds based on weights, mean, variance, and within-class variance. By experimenting with the BSD color image dataset, they were able to successfully segment color images using this approach.