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Volumn 16, Issue 2, 2008, Pages 333-337

Application of improved adaptive genetic algorithm to image segmentation in real-time

Author keywords

2 D histogram; Adaptive Genetic Algorithm (AGA); Fisher criterion; Image segmentation

Indexed keywords

COMPUTATIONAL METHODS; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; TWO DIMENSIONAL;

EID: 40749153463     PISSN: 1004924X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (20)

References (10)
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  • 4
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    • SUN J X. Modern Pattern Recognition [M]. Changsha: National University of Defense Technology Press. (in Chinese)
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    • The Fisher criterion function method of image thresholding
    • in Chinese
    • CHEN G. The Fisher criterion function method of image thresholding [J]. Chinese Journal of Scientific Instrument, 2003, 24 (6): 564-567. (in Chinese)
    • (2003) Chinese Journal of Scientific Instrument , vol.24 , Issue.6 , pp. 564-567
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  • 6
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    • Shape reasoning on mis-segmented and mis-labeled objects using approximated Fisher criterion
    • HERV G, SABRINA T, PASCALE G. Shape reasoning on mis-segmented and mis-labeled objects using approximated Fisher criterion [J]. Computers and Graphics, 2006, 30 (2): 177-184.
    • (2006) Computers and Graphics , vol.30 , Issue.2 , pp. 177-184
    • Herv, G.1    Sabrina, T.2    Pascale, G.3
  • 9
    • 19044386775 scopus 로고    scopus 로고
    • Seeking of tissue image digging point method based on genetic arithmetic
    • in Chinese
    • WANG CH H, LI L, LI Y SH, et al. Seeking of tissue image digging point method based on genetic arithmetic [J]. Opt. Precision Eng., 2005, 13 (2): 231-236. (in Chinese)
    • (2005) Opt. Precision Eng. , vol.13 , Issue.2 , pp. 231-236
    • Wang, C.H.1    Li, L.2    Li, Y.S.3
  • 10
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    • Microarray image gridding with stochastic search based approaches
    • GIULIANO A, MICHELE C. Microarray image gridding with stochastic search based approaches [J]. Image and Vision Computing, 2007, 25 (2): 155-163.
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    • Giuliano, A.1    Michele, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.