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Volumn 3801 LNAI, Issue , 2005, Pages 1051-1056

Improved method for gradient-threshold edge detector based on HVS

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; EDGE DETECTION; IMAGE SEGMENTATION; LIGHTING; VISION;

EID: 33646843417     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11596448_157     Document Type: Conference Paper
Times cited : (4)

References (6)
  • 3
  • 4
    • 0031335115 scopus 로고    scopus 로고
    • A robust visual method for assessing the relative performance of edge-detection algorithms
    • M.D. Heath, S. Sarkar, T. Sanocki and K.W. Bowyer: A robust visual method for assessing the relative performance of edge-detection algorithms. IEEE Trans. Pattern Anal. Machine Intell., Vol. 19. (1997) 1338 - 1358
    • (1997) IEEE Trans. Pattern Anal. Machine Intell. , vol.19 , pp. 1338-1358
    • Heath, M.D.1    Sarkar, S.2    Sanocki, T.3    Bowyer, K.W.4
  • 5
    • 0032095203 scopus 로고    scopus 로고
    • Edge detection using local histrogram analysis
    • A. Elmabrouk and A. aggoun: Edge detection using local histrogram analysis, electronics letters, Vol. 34. (1998) 1216 - 1217
    • (1998) Electronics Letters , vol.34 , pp. 1216-1217
    • Elmabrouk, A.1    Aggoun, A.2
  • 6
    • 19044388559 scopus 로고    scopus 로고
    • Gradient-threshold edge detection based on HVS
    • F. Yang, Y. Chang and S. Wan: Gradient-threshold edge detection based on HVS. Optical Engineering, Vol. 44. (2005)
    • (2005) Optical Engineering , vol.44
    • Yang, F.1    Chang, Y.2    Wan, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.