Color Image Segmentation Using Energy Minimization on a Quadtree Representation

Abstract. In this article we present the results of an unsupervised segmentation algorithm based on a multiresolution method. The algorithm uses color and edge information in an iterative minimization process of an energy function. The process has been applied to fruit images to distinguish the different areas of the fruit surface in fruit quality assessment applications. Due to the unsupervised nature of the procedure, it can adapt itself to the huge variability of colors and shapes of the regions in fruit inspection applications.

• Type: Conference
• Year: 2004
• Where: ICIAR
• Authors: Adolfo Martínez Usó, Filiberto Pla, Pedro García-Sevilla
• Keywords: Fruit, ICIAR 2004, Iterative Minimization Process, Unsupervised Segmentation Algorithm