Color Image Segmentation Using Energy Minimization on a Quadtree Representation
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.
KeywordsImage Segmentation Color Space Segmentation Process Salient Region Edge Information
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