Toward new fruit color descriptor based on color palette

Color palette design is one important stage in color quantization. Color palette can reduce the number of color on images with minimal distortion, so the produced color looks similar to original image visually. In this paper, we proposed the use of color palette as a color descriptor, especially in fruit recognition system. We used k-means clustering method to cluster RGB pixels in order to construct fruit color palette. Removal of redundant RGB pixels, noise removal, determining of centroid of cluster, and determining threshold to refine cluster from outlier data are some steps we were conducted in order to build fruit color palette. Cluster with the highest percentage was chosen as fruit color palette representation of fruit images. Further, the centroid of the chosen cluster will be used as color descriptor to recognize fruit images based on color.