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Volumn 142, Issue , 2017, Pages 110-117

A segmentation method for greenhouse vegetable foliar disease spots images using color information and region growing

Author keywords

CCF; Foliar disease spots; Greenhouse vegetables; Image segmentation; Region growing

Indexed keywords

CLUTTER (INFORMATION THEORY); COLOR; GREENHOUSES; IMAGE PROCESSING; IMAGE SEGMENTATION; VEGETABLES;

EID: 85028576360     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2017.08.023     Document Type: Article
Times cited : (119)

References (20)
  • 1
    • 85015832167 scopus 로고    scopus 로고
    • A fuzzy clustering segmentation method based on neighborhood grayscale information for defining cucumber leaf spot disease images
    • Bai, X., Li, X., Fu, Z., et al. A fuzzy clustering segmentation method based on neighborhood grayscale information for defining cucumber leaf spot disease images. Comput. Electron. Agric. 136 (2017), 157–165.
    • (2017) Comput. Electron. Agric. , vol.136 , pp. 157-165
    • Bai, X.1    Li, X.2    Fu, Z.3
  • 2
    • 84958554797 scopus 로고    scopus 로고
    • A review on the main challenges in automatic plant disease identification based on visible range images
    • Barbedo, J.G.A., A review on the main challenges in automatic plant disease identification based on visible range images. Biosyst. Eng. 144 (2016), 52–60.
    • (2016) Biosyst. Eng. , vol.144 , pp. 52-60
    • Barbedo, J.G.A.1
  • 3
    • 84958742884 scopus 로고    scopus 로고
    • Automatic moth detection from trap images for pest management
    • Ding, W., Taylor, G., Automatic moth detection from trap images for pest management. Comput. Electron. Agric. 123 (2016), 17–28.
    • (2016) Comput. Electron. Agric. , vol.123 , pp. 17-28
    • Ding, W.1    Taylor, G.2
  • 4
    • 84978038820 scopus 로고    scopus 로고
    • Deep learning for plant identification using vein morphological patterns
    • Grinblat, G.L., Uzal, L.C., Larese, M.G., et al. Deep learning for plant identification using vein morphological patterns. Comput. Electron. Agric. 127 (2016), 418–424.
    • (2016) Comput. Electron. Agric. , vol.127 , pp. 418-424
    • Grinblat, G.L.1    Uzal, L.C.2    Larese, M.G.3
  • 5
    • 84943813092 scopus 로고    scopus 로고
    • Discrete wavelets transform for improving greenness image segmentation in agricultural images
    • Guijarro, M., Riomoros, I., Pajares, G., et al. Discrete wavelets transform for improving greenness image segmentation in agricultural images. Comput. Electron. Agric. 118 (2015), 396–407.
    • (2015) Comput. Electron. Agric. , vol.118 , pp. 396-407
    • Guijarro, M.1    Riomoros, I.2    Pajares, G.3
  • 6
    • 85008217141 scopus 로고    scopus 로고
    • Automatic crop detection under field conditions using the HSV color space and morphological operations
    • Hamuda, E., Mc Ginley, B., Glavin, M., et al. Automatic crop detection under field conditions using the HSV color space and morphological operations. Comput. Electron. Agric. 133 (2017), 97–107.
    • (2017) Comput. Electron. Agric. , vol.133 , pp. 97-107
    • Hamuda, E.1    Mc Ginley, B.2    Glavin, M.3
  • 7
    • 84969174961 scopus 로고    scopus 로고
    • A survey of image processing techniques for plant extraction and segmentation in the field
    • Hamuda, E., Glavin, M., Jones, E., A survey of image processing techniques for plant extraction and segmentation in the field. Comput. Electron. Agric. 125 (2016), 184–199.
    • (2016) Comput. Electron. Agric. , vol.125 , pp. 184-199
    • Hamuda, E.1    Glavin, M.2    Jones, E.3
  • 10
    • 84928008917 scopus 로고    scopus 로고
    • Monitoring video capture system for identification of greenhouse vegetable diseases
    • Ma, J., Li, X., Zhang, L., et al. Monitoring video capture system for identification of greenhouse vegetable diseases. Trans. Chin. Soc. Agric. Mach. 46:3 (2015), 282–287.
    • (2015) Trans. Chin. Soc. Agric. Mach. , vol.46 , Issue.3 , pp. 282-287
    • Ma, J.1    Li, X.2    Zhang, L.3
  • 11
    • 84920971089 scopus 로고    scopus 로고
    • A key frame extraction method for processing greenhouse vegetables production monitoring video
    • Ma, J., Li, X., Wen, H., et al. A key frame extraction method for processing greenhouse vegetables production monitoring video. Comput. Electron. Agric. 111 (2015), 92–102.
    • (2015) Comput. Electron. Agric. , vol.111 , pp. 92-102
    • Ma, J.1    Li, X.2    Wen, H.3
  • 12
    • 85019389145 scopus 로고    scopus 로고
    • Downy mildew diagnosis system for greenhouse cucumbers based on image processing
    • Ma, J., Wen, H., Zhang, L., et al. Downy mildew diagnosis system for greenhouse cucumbers based on image processing. Trans. Chin. Soc. Agric. Mach. 48:2 (2017), 195–202.
    • (2017) Trans. Chin. Soc. Agric. Mach. , vol.48 , Issue.2 , pp. 195-202
    • Ma, J.1    Wen, H.2    Zhang, L.3
  • 13
    • 84905095747 scopus 로고    scopus 로고
    • Image-based plant phenotyping with incremental learning and active contours
    • Minervini, M., Abdelsamea, M.M., Tsaftaris, S.A., Image-based plant phenotyping with incremental learning and active contours. Ecol. Inform. 23 (2014), 35–48.
    • (2014) Ecol. Inform. , vol.23 , pp. 35-48
    • Minervini, M.1    Abdelsamea, M.M.2    Tsaftaris, S.A.3
  • 14
    • 0032636094 scopus 로고    scopus 로고
    • Machine vision detection parameters for plant species identification
    • G.E. Meyer J.A. DeShazer Bellingham WA
    • Meyer, G.E., Hindman, T.W., Lakshmi, K., Machine vision detection parameters for plant species identification. Meyer, G.E., DeShazer, J.A., (eds.) Precision Agriculture and Biological Quality, Proceedings of SPIE, 3543, 1998, Bellingham, WA, 327–335.
    • (1998) Precision Agriculture and Biological Quality, Proceedings of SPIE , vol.3543 , pp. 327-335
    • Meyer, G.E.1    Hindman, T.W.2    Lakshmi, K.3
  • 15
    • 84988660002 scopus 로고    scopus 로고
    • Segmentation algorithm of cucumber leaf disease image based on saliency detection
    • Ren, S., Xu, H., Lu, H., et al. Segmentation algorithm of cucumber leaf disease image based on saliency detection. Trans. Chin. Soc. Agric. Mach. 47:9 (2016), 11–16.
    • (2016) Trans. Chin. Soc. Agric. Mach. , vol.47 , Issue.9 , pp. 11-16
    • Ren, S.1    Xu, H.2    Lu, H.3
  • 16
    • 0029110322 scopus 로고
    • Color indices for weed identification under various soil, residue, and lighting conditions
    • Woebbecke, D., Meyer, G., VonBargen, K., et al. Color indices for weed identification under various soil, residue, and lighting conditions. Trans. ASAE 38:1 (1995), 271–281.
    • (1995) Trans. ASAE , vol.38 , Issue.1 , pp. 271-281
    • Woebbecke, D.1    Meyer, G.2    VonBargen, K.3
  • 17
    • 84887309514 scopus 로고    scopus 로고
    • Segmentation of cucumber leaf disease images with complex background
    • Yuan, Y., Li, M., Chen, S., et al. Segmentation of cucumber leaf disease images with complex background. Trans. Chin. Soc. Agric. Mach. 44:10 (2013), 233–237.
    • (2013) Trans. Chin. Soc. Agric. Mach. , vol.44 , Issue.10 , pp. 233-237
    • Yuan, Y.1    Li, M.2    Chen, S.3
  • 18
    • 85012256411 scopus 로고    scopus 로고
    • Leaf image based cucumber disease recognition using sparse representation classification
    • Zhang, S., Wu, X., You, Z., et al. Leaf image based cucumber disease recognition using sparse representation classification. Comput. Electron. Agric. 134 (2017), 135–141.
    • (2017) Comput. Electron. Agric. , vol.134 , pp. 135-141
    • Zhang, S.1    Wu, X.2    You, Z.3
  • 19
    • 84944406150 scopus 로고    scopus 로고
    • Plant disease image segmentation based on level set and visual saliency
    • Zhou, Q., Wang, Z., Chen, Y., et al. Plant disease image segmentation based on level set and visual saliency. J. Tongji Univ. (Natl. Sci.) 43:9 (2015), 1406–1413.
    • (2015) J. Tongji Univ. (Natl. Sci.) , vol.43 , Issue.9 , pp. 1406-1413
    • Zhou, Q.1    Wang, Z.2    Chen, Y.3
  • 20
    • 84905231063 scopus 로고    scopus 로고
    • Disease detection of Cercospora leaf spot in sugar beet by robust template matching
    • Zhou, R., Kaneko, S., Tanaka, F., et al. Disease detection of Cercospora leaf spot in sugar beet by robust template matching. Comput. Electron. Agric. 108 (2014), 58–70.
    • (2014) Comput. Electron. Agric. , vol.108 , pp. 58-70
    • Zhou, R.1    Kaneko, S.2    Tanaka, F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.