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Volumn , Issue , 2012, Pages 291-296

Feasibility study on plant chili disease detection using image processing techniques

Author keywords

Chili disease; Image processing; Leaf image

Indexed keywords

BACTERIAL DISEASE; DATA PROCESSING TECHNIQUES; DISEASE DETECTION; FEASIBILITY STUDIES; HEALTH STATUS; IMAGE PROCESSING TECHNIQUE; LEAF IMAGES;

EID: 84859970424     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISMS.2012.33     Document Type: Conference Paper
Times cited : (111)

References (12)
  • 2
    • 33751550214 scopus 로고    scopus 로고
    • Combined thresholding and neural network approach for vein pattern extraction from leaf images
    • December
    • H. Fu and Z. Chi, "Combined thresholding and neural network approach for vein pattern extraction from leaf images," IEEE Proceedings-Vision, Image and Signal Processing, vol. 153, no. 6, December 2006
    • (2006) IEEE Proceedings-Vision, Image and Signal Processing , vol.153 , Issue.6
    • Fu, H.1    Chi, Z.2
  • 3
    • 24944547513 scopus 로고    scopus 로고
    • Shape recognition based on radial basis probabilistic neural network and application to plant species identification
    • Proceedings of 2005 International Symposium of Neural Networks, ser. Springer
    • J. Du, D. Huang, X. Wang, and X. Gu, "Shape recognition based on radial basis probabilistic neural network and application to plant species identification" in Proceedings of 2005 International Symposium of Neural Networks, ser. LNCS 3497. Springer, 2005
    • (2005) LNCS , vol.3497
    • Du, J.1    Huang, D.2    Wang, X.3    Gu, X.4
  • 9
    • 0032318649 scopus 로고    scopus 로고
    • Signfinder : Using color to detect, localize and identify informational signs
    • A.L Yuille, D. Snow, and M. Nitzberg, Signfinder : Using color to detect, localize and identify informational signs, Int. Conf. on Computer Vision ICCV98, 1998, pp. 629-633
    • (1998) Int. Conf. on Computer Vision ICCV98 , pp. 629-633
    • Yuille, A.L.1    Snow, D.2    Nitzberg, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.