期刊
FUZZY SETS AND SYSTEMS
卷 158, 期 5, 页码 496-516出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.fss.2006.09.012
关键词
restricted equivalence functions; similarity measures; thresholding; image segmentation
In this paper we apply restricted equivalence functions to the computation of the threshold of an image. In the first part we present an algorithm for obtaining the best threshold of a grayscale image with a single object. In the second part we study different algorithms for calculating the optimal threshold. Then we analyze two algorithms for obtaining a sequence of optimal thresholds in images with several objects. Lastly, we compare our results with those obtained with other methods and carry out a study of the time efficiency of the methods we propose. (c) 2006 Elsevier B.V. All rights reserved.
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