基于统计模式识别的植物病害彩色图像分割方法

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

基于统计模式识别的植物病害彩色图像分割方法

田有文, 李成华

沈阳农业大学, 农业工程学院, 辽宁, 沈阳, 110161

收稿日期:2003-07-20 出版日期:2004-04-01

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

TIAN You-wen, LI Cheng-hua

College of Agriculture Engineering, Shenyang Agriculture University, Shenyang 110161, China

Received:2003-07-20 Online:2004-04-01

摘要/Abstract

摘要： 根据植物病害彩色图像的特点,提出了用颜色空间作为特征空间,利用统计模式识别的监督分类方法,采用基于 Fisher 准则的线性判别函数来对彩色图像进行真彩色二值化分割。结果表明:该方法具有快速、有效和准确的特点,对彩色植物病害图像的分割处理十分有效。

关键词: 彩色图像分割, 统计模式识别, 植物病害

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

中图分类号:

TP391.4

田有文, 李成华. 基于统计模式识别的植物病害彩色图像分割方法[J]. 吉林大学学报(工学版), 2004, (2): 291-293.

TIAN You-wen, LI Cheng-hua. Color image segmentation method based on statistical pattern recognition for plant disease diagnose[J]. 吉林大学学报(工学版), 2004, (2): 291-293.

参考文献

[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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