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Volumn 3656 LNCS, Issue , 2005, Pages 1014-1022

Multi-dimensional color histograms for segmentation of wounds in images

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; MEDICAL PROBLEMS; THREE DIMENSIONAL COMPUTER GRAPHICS; VECTOR QUANTIZATION;

EID: 33645983900     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11559573_123     Document Type: Conference Paper
Times cited : (58)

References (10)
  • 4
    • 5644262763 scopus 로고    scopus 로고
    • Segmentation of wounds in the combined color-texture feature space
    • 16-19 Feb. San Diego, CA
    • Kolesnik, M., Fexa, A.: Segmentation of wounds in the combined color-texture feature space. Proc. of SPIE Medical Imaging 2004: Image Processing, 16-19 Feb. 2004, San Diego, CA, 549-556.
    • (2004) Proc. of SPIE Medical Imaging 2004: Image Processing , pp. 549-556
    • Kolesnik, M.1    Fexa, A.2
  • 7
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale SVM learning practical
    • B. Schölkopf and C. Burges and A. Smola (eds.), MIT Press
    • Joachims, T.: Making large-Scale SVM Learning Practical. In Advances in Kernel Methods - Support Vector Learning, B. Schölkopf and C. Burges and A. Smola (eds.), MIT Press, (1999)
    • (1999) Advances in Kernel Methods - Support Vector Learning
    • Joachims, T.1
  • 10


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.