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基于模糊聚类的玉米大斑病害图像的分割技术
引用本文:马旭,齐龙,张小超.基于模糊聚类的玉米大斑病害图像的分割技术[J].农机化研究,2008(12).
作者姓名:马旭  齐龙  张小超
作者单位:1. 华南农业大学,南方农业机械与装备关键技术省部共建教育部重点实验室,广州,510642
2. 吉林大学,生物与农业工程学院,长春,130025
3. 中国农业机械化研究院,北京,100083
基金项目:国家高技术研究发展计划(863计划) 
摘    要:通过颜色空间的转换,将RGB颜色空间转化为HSI颜色空间,在色度H空间对玉米大斑病图像进行分割。应用模糊聚类分析的方法,确定了图像分割的阈值。对186幅玉米大斑病图像进行分割试验,分割的准确率为97.8%。分析表明,准确的病害图像分割可以为病害的特征值提取和病害的模式识别做好准备。

关 键 词:图像分割  颜色空间  色度  玉米大斑病  模糊聚类

Segmentation Technology of Exserochilum Turcicum Image Based on Fuzzy Clustering Analysis
Ma Xu,Qi Long,Zhang Xiaochao.Segmentation Technology of Exserochilum Turcicum Image Based on Fuzzy Clustering Analysis[J].Journal of Agricultural Mechanization Research,2008(12).
Authors:Ma Xu  Qi Long  Zhang Xiaochao
Abstract:The RGB color space was transformed to HSI color space by transformation.In order to minimize the effect of the light intensity,the Hue component was chosen to do image segmentation of exserochilum turcicum image.The segmentation threshold was calculated based on fuzzy clustering analysis method.After segmentation trials of the 186 exserochilum turcicum images,182 images was done correctly,the correctness rate was 97.8%.It could make good preparation for features extraction and disease identification.
Keywords:image segmentation  color space  hue  exserochilum turcicum  fuzzy clustering analysis
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