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Volumn 19, Issue 2, 1998, Pages 197-204

A new gray level based Hough transform for region extraction: an application to IRS images

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMAGE SEGMENTATION; MATHEMATICAL TRANSFORMATIONS; REMOTE SENSING; SATELLITES;

EID: 0344765460     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(97)00172-4     Document Type: Article
Times cited : (10)

References (9)
  • 1
    • 0019397313 scopus 로고
    • Generalizing the Hough transform to detect arbitrary shapes
    • Ballard D.H. Generalizing the Hough transform to detect arbitrary shapes. Pattern Recognition. 13:1981;111-122.
    • (1981) Pattern Recognition , vol.13 , pp. 111-122
    • Ballard, D.H.1
  • 2
    • 0015285440 scopus 로고
    • Use of the Hough transform to detect lines and curves in pictures
    • Duda R.O., Hart P.E. Use of the Hough transform to detect lines and curves in pictures. Comm. ACM. 15:1972;11-15.
    • (1972) Comm. ACM , vol.15 , pp. 11-15
    • Duda, R.O.1    Hart, P.E.2
  • 5
    • 0029309772 scopus 로고
    • Gray-scale Hough transform for thick line detection in gray-scale images
    • Lo R., Tsai W. Gray-scale Hough transform for thick line detection in gray-scale images. Pattern Recognition. 28:1995;647-661.
    • (1995) Pattern Recognition , vol.28 , pp. 647-661
    • Lo, R.1    Tsai, W.2
  • 6
    • 0027658896 scopus 로고
    • A review on image segmentation
    • Pal N.R., Pal S.K. A review on image segmentation. Pattern Recognition. 24:1993;1277-1294.
    • (1993) Pattern Recognition , vol.24 , pp. 1277-1294
    • Pal, N.R.1    Pal, S.K.2
  • 8
    • 0024471122 scopus 로고
    • Hough transform for line recognition: Complexity of evidence accumulation and cluster detection
    • Risse T. Hough transform for line recognition: Complexity of evidence accumulation and cluster detection. Comput. Vision Graphics Image Process. 46:1989;327-345.
    • (1989) Comput. Vision Graphics Image Process. , vol.46 , pp. 327-345
    • Risse, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.