农业机械学报2011，Vol.42Issue(3)：170-174,5.
基于色度和纹理的黄瓜霜霉病识别与特征提取
Recognition and Features Extraction of Cucumber Downy Mildew Based on Color and Texture
摘要
Abstract
An extraction algorithm based on color and texture was developed to realize segmentation between downy mildew and cucumber plants in greenhouse. A light analysis model was established by comparing the distribution of cucumber images in RGB, HIS and YCbCr color space, which was beneficial to the recognition of disease in variable illuminations. Combination model of Cb and Cr elements was built based on the mean difference of lesions and interference informations in Cb and Cr, which included leaves, poles and soil, and extracted target rapidly. A detecting expriment was carried out on 30 images with downy mildew, which were taken in a changing greenhouse enviornment. The results indicated that the accuracy rate of segmentation was 90. 6% .关键词
黄瓜霜霉病/温室/识别/特征提取/颜色/纹理Key words
Cucumber downy mildew/ Greenhouse/ Recognition/ Features extraction/ Color/ Texture分类
信息技术与安全科学引用本文复制引用
耿长兴,张俊雄,曹峥勇,李伟..基于色度和纹理的黄瓜霜霉病识别与特征提取[J].农业机械学报,2011,42(3):170-174,5.基金项目
国家高技术研究发展计划(863计划)资助项目(2008AA100905、2007AA04Z222)、高等学校博士学科点专项科研基金资助项目(200800191014)、中国农业大学科研启动基金资助项目(2007027)和中国农业大学基本科研业务费研究生科研创新专项 （863计划）
