Feature Extraction Method for Wheat Diseases Based on Multi-fractal Spectrum

摘要：

　　Wheat diseases image noise was effectively removed using lifting scheme multi-wavelet transform and multi-fractal analysis,and then it used multi-fractal theory to segment diseases image and extract eight multi-fractal spectrum values as wheat shape feature of diseases.Experiments showed that the shape characteristic value of different wheat diseases had great difference,and the shape characteristic value of similar diseases had certain regularity.Therefore,it could extract shape characteristic value to recognize wheat diseases.

关键词： Wheat diseases Multi-wavelet transform Multi-fractal spectrum Feature extraction shape feature

作者: Feiyun Zhang

作者单位: College of Electrical and Information Engineering Xuchang University,Henan Xuchang,China 461000

会议类型: 国际会议

会议名称: 2013 2nd international Conference on Opto-Electronics Engineering and Materials Eesearch(2013第二届光电工程与材料研究国际会议)(OEMR2013)

会议地点: 郑州

会议语种:英文

页码: 1421-1424

在线出版日期: 2013-10-19（万方平台首次上网日期，不代表论文的发表时间）