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Optimization Approaches in Computer Vision and Image Processing
Katsuhiko SAKAUE Akira AMANO Naokazu YOKOYA
IEICE TRANSACTIONS on Information and Systems
Publication Date: 1999/03/25
Print ISSN: 0916-8532
Type of Manuscript: INVITED SURVEY PAPER
computer vision, image processing, optimization, relaxation, regularization, snakes, genetic algorithm,
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In this paper, the authors present general views of computer vision and image processing based on optimization. Relaxation and regularization in both broad and narrow senses are used in various fields and problems of computer vision and image processing, and they are currently being combined with general-purpose optimization algorithms. The principle and case examples of relaxation and regularization are discussed; the application of optimization to shape description that is a particularly important problem in the field is described; and the use of a genetic algorithm (GA) as a method of optimization is introduced.