FCE-based color image segmentation

This paper presents a fuzzy color extractor based algorithm to segment color images into meaningful regions. The algorithm proposes a strategy for selecting seeds of color extraction and uses the region growing method to stop the iteration of extraction process. This algorithm automatically determines the number of clusters that represent the segmented color regions. The algorithm is applied to segment a number of image samples to evaluate its performance in comparison with existing approaches.