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Volumn 22, Issue 2, 2003, Pages 113-120

Supervised automatic histogram clustering and watershed segmentation. Application to microscopic medical color images

Author keywords

Clustering; Color; Histogram; Segmentation; Watershed

Indexed keywords


EID: 33645114839     PISSN: 15803139     EISSN: 18545165     Source Type: Journal    
DOI: 10.5566/ias.v22.p113-120     Document Type: Article
Times cited : (21)

References (17)
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  • 8
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    • Kurugollu, F.1    Sankur, B.2    Harmanci, A.E.3
  • 9
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    • A color morphological segmentation
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    • (2000) Proceedings , pp. 170
    • Lezoray, O.1    Elmoataz, A.2    Cardot, H.3    Revenu, M.4
  • 10
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    • Color image segmentation based on 3-D clustering: Morphological approach
    • Park SH, Yun ID, Lee SU (1998). Color image segmentation based on 3-D clustering: morphological approach. Patt Recog 31(8):1061.
    • (1998) Patt Recog , vol.31 , Issue.8 , pp. 1061
    • Park, S.H.1    Yun, I.D.2    Lee, S.U.3
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    • Morphological image analysis applied to crop field mapping
    • Soille P (2000). Morphological image analysis applied to crop field mapping. Image Vis Comp 18(13):1025-32.
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    • Soille, P.1
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    • A region growing and merging algorithm to color segmentation
    • Trémeau A, Borel N (1998). A region growing and merging algorithm to color segmentation. Patt Recog 30(7):1191.
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    • Trémeau, A.1    Borel, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.