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Convergence of fuzzy-pyramid algorithms
Authors:Bikash Sabata  Farshid Arman  J K Aggarwal
Affiliation:(1) Department of Computer Science, Wayne State University, 431 State Hall, 48202 Detroit, MI, USA;(2) Siemens Corporate Research, 755 College Road East, 08540 Princeton, NJ, USA;(3) Computer and Vision Research Center, Department of Electrical and Computer Engineering, University of Texas at Austin, 78712 Austin, TX, USA
Abstract:Pyramid linking is an important technique for segmenting images and has many applications in image processing and computer vision. The algorithm is closely related to the ISODATA clustering algorithm and shares some of its properties. This paper investigates this relationship and presents a proof of convergence for the pyramid linking algorithm. The convergence of the hard-pyramid linking algorithm has been shown in the past; however, there has been no proof of the convergence of fuzzy-pyramid linking algorithms. The proof of convergence is based on Zangwill's theorem, which describes the convergence of an iterative algorithm in terms of a ldquodescent functionrdquo of the algorithm. We show the existence of such a descent function of the pyramid algorithm and, further, show that all the conditions of Zangwill's theorem are met; hence the algorithm converges.This research was supported by the U.S. Army Research Office under contract DAAL 03-91-G0050.
Keywords:pyramid segmentation  image processing  multiresolution segmentation  pyramid node linking
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