University/Organization
Department of Agriculture, Food and Resource Sciences
University of Maryland Eastern Shore
Princess Anne, Maryland
Department of Agriculture, Food and Resource Sciences
University of Maryland Eastern Shore
Princess Anne, Maryland
Title
Color-Based Butterfly Image Segmentation Using K-Means Clustering Approach
Synopsis
This study explores the use of image processing techniques to classify butterfly images based on color features. By applying K-Means clustering, the images were segmented into three distinct color groups—Cream, Yellow, and Orange—each capturing meaningful regions of the butterfly. These clusters were analyzed using color histograms and Lab* color space, which highlighted clear visual and chromatic differences among them. The results demonstrate the potential of color-based segmentation as an effective approach for analyzing and organizing butterfly images, with broader implications for image classification tasks in similar contexts.