Binary Structuring Elements Decomposition Based on an Improved Recursive Dilation-Union Model and RSAPSO Method
Author(s) -
Yudong Zhang,
Shuihua Wang,
Yi Sun,
Genlin Ji,
Preetha Phillips,
Zhengchao Dong
Publication year - 2014
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2014/272496
Subject(s) - dilation (metric space) , structuring , structuring element , algorithm , simulated annealing , binary tree , decomposition method (queueing theory) , mathematical optimization , particle swarm optimization , tree (set theory) , binary number , matrix (chemical analysis) , computer science , mathematics , artificial intelligence , chemistry , chromatography , discrete mathematics , arithmetic , mathematical morphology , combinatorics , image (mathematics) , finance , economics , image processing
This paper proposed an improved approach to decompose structuring elements of an arbitrary shape. For the model of this method, we use an improved dilation-union model, adding a new termination criterion, as the sum of 3-by-3 matrix should be less than 5. Next for the algorithm of this method, we introduced in the restarted simulated annealing particle swarm optimization method. The experiments demonstrate that our method can find better results than Park's method, Anelli's method, Shih's SGA method, and Zhang's MFSGA method. Besides, our method gave the best decomposition tree of different SE shapes including “ship,” “car,” “heart,” “umbrella,” “vase,” “tree,” “cat,” “V,” “bomb,” and “cup.”
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