Color Image Segmentation In CIELab Space Using Hill Climbing Algorithm

Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. We contend that this problem can be tackled by mapping the pixels into various feature spaces, whereupon the are subjected to various grouping algorithms In this paper we present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image.