吉林大学学报(工学版) ›› 2004, Vol. ›› Issue (2): 291-293.

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Color image segmentation method based on statistical pattern recognition for plant disease diagnose

TIAN You-wen, LI Cheng-hua   

  1. College of Agriculture Engineering, Shenyang Agriculture University, Shenyang 110161, China
  • Received:2003-07-20 Online:2004-04-01

Abstract: A supervision and sorting technique on the basis of statistical pattern recognition by using color as characteristic space was proposed according to the properties of plant disease image.Real color binarylization segmentation to the color image was carried out through applying Fisher criterion.The experimental result shows that this segmentation method possesses high speed with high accuracy and is effective in plant disease image segmentation and processing.

Key words: color image segmentation, statistical pattern recognition, plant disease

CLC Number: 

  • TP391.4
[1] CHENG H D,JIANG H X, SUN Y, WANG J L. Color image segmentation: advances and prospects[J]. Pattern Recognition, 2001,34:2251-2281.
[2] 吕朝辉,陈晓光,吴文福,赵红霞. 用BP神经网络进行秧苗图像分割[J]. 农业工程学报,2001,17(3):146-148.
[3] 边肇祺,张学工. 模式识别[M]. 北京:清华大学出版社, 2000.
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