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.