Ensemble Color Image Segmentation Image Fusion The subject of
this chapter is ensemble color image segmentation. This is an
image fusion application in which combine several simple image
segmentation algorithms to obtain a state-of-the-art image
segmentation algorithm. The goal of image segmentation is to
decompose the input image into a set of meaningful or spatially
coherent regions sharing similar attributes. The algorithm is
often a crucial step in many video and computer vision
applications such as object localization or recognition. A
simple image segmentation is the K -means cluster algorithm in
which we divide the pixels into K clusters.