Color Image Segmentation using CIELab Color Space using Ant Colony Optimization
نویسندگان
چکیده
This paper proposes an approach for the segmentation of color images using CIELab color space and Ant based clustering. Image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain visual characteristics. The objective of segmentation is to change the image into meaningful form that is easier to analyze. This paper elaborates the ant based clustering for image segmentation. CMC distance is used to calculate the distance between pixels as this color metric gives good results with CIELab color space. Results show the segmentation using ant based clustering and also verifies that number of clusters for the image with the CMC distance also varies. Clustering quality is evaluated using MSE measure. Keywords— Ant Clust, CMC distance, CIELab color space,
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