DocumentCode :
1837171
Title :
A Scallop Recognition Method Based on Fuzzy Theory
Author :
Honglei Wei ; Mei Yang ; Xiaodan Liu
Author_Institution :
R&D Center of Fisheries Equip. & Eng. of Liaoning Province, Dalian Ocean Univ., Dalian, China
Volume :
2
fYear :
2013
fDate :
26-27 Aug. 2013
Firstpage :
486
Lastpage :
489
Abstract :
In this paper, a fuzzy recognition system is established to achieve the identification and classification of scallops. Image edges were detected by the canny operator after the original images being processed to gray image and binary image. To build the fuzzy system, mean and variance of the distance between the edge and the center of target were calculated as input, and the object category as the output of the fuzzy system, and four fuzzy rules were established Based on analysis in the scallop image. The experimental results show that the proposed method is really effective.
Keywords :
edge detection; feature extraction; fuzzy set theory; binary image; feature extraction; fuzzy system; fuzzy theory; gray image; image edge detection; scallop recognition method; scallops classification; scallops identification; Aquaculture; Feature extraction; Fuzzy systems; Image edge detection; Machine vision; Marine animals; feature extraction; fuzzy recognition system; scallop recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-0-7695-5011-4
Type :
conf
DOI :
10.1109/IHMSC.2013.263
Filename :
6642791
Link To Document :
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