메뉴 건너뛰기




Volumn 3852 LNCS, Issue , 2006, Pages 752-760

Corner detection using morphological skeleton: An efficient and nonparametric approach

Author keywords

Corner points; Morphological skeleton; Non parametric

Indexed keywords

BOUNDARY CONDITIONS; FEATURE EXTRACTION; IMAGE ANALYSIS; PARAMETER ESTIMATION; ROBUSTNESS (CONTROL SYSTEMS);

EID: 33744912232     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11612704_75     Document Type: Conference Paper
Times cited : (13)

References (5)
  • 1
    • 0032209979 scopus 로고    scopus 로고
    • A morphological operator for comer detection
    • Laganiere R, (1998). A morphological operator for comer detection, Pattern Recognition, Vol. 31, No. 11, pp. 1643-1652.
    • (1998) Pattern Recognition , vol.31 , Issue.11 , pp. 1643-1652
    • Laganiere, R.1
  • 3
    • 17444419425 scopus 로고    scopus 로고
    • A modified regulated morphological corner detector
    • Shih F.Y, C.F Chuang and V. Gaddipati, (2005). A modified regulated morphological corner detector, Pattern Recognition Letters vol. 26, No. 7, pp. 931-937.
    • (2005) Pattern Recognition Letters , vol.26 , Issue.7 , pp. 931-937
    • Shih, F.Y.1    Chuang, C.F.2    Gaddipati, V.3
  • 4
    • 0035369577 scopus 로고    scopus 로고
    • A fast algorithm for comer detection using the morphologic skeleton
    • Yu L.W, L Hua and Z.G Xi, (2001). A fast algorithm for comer detection using the morphologic skeleton, Pattern Recognition Letters, Vol. 22, pp. 891-900.
    • (2001) Pattern Recognition Letters , vol.22 , pp. 891-900
    • Yu, L.W.1    Hua, L.2    Xi, Z.G.3
  • 5
    • 0031062203 scopus 로고    scopus 로고
    • A parallel algorithm for detecting dominant points on multiple digital curves
    • Zhang X and D. Zhao, (1997). A parallel algorithm for detecting dominant points on multiple digital curves. Pattern Recognition, Vol. 30. No. 2, pp. 239-244.
    • (1997) Pattern Recognition , vol.30 , Issue.2 , pp. 239-244
    • Zhang, X.1    Zhao, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.