农业机械学报2012，Vol.43Issue(5)：157-161,5.DOI:10.6041/j.issn.1000-1298.2012.05.027
基于改进型C-V模型的植物病斑图像分割
Segmentation of Plant Lesion Image Using Improved C - V Model
摘要
Abstract
In view of complex background of lesion images and the difficulty in segmentation, an improved C -V model based on level set and weighted color information was proposed and applied into agricultural lesion image segmentation. The segmentation model of weighted color information based on level set was suitable to different diseases identification and could identify lesion disease automatically. Experimental results show that the proposed model has better property than C - V model, and has many advantages such as anti-noise and scalability properties on 4R - G image model for cucumber pink and 3R - G - B image model for apple rust disease.关键词
植物病害/病斑图像/图像分割/C-V模型/加权颜色/水平集Key words
Plant disease/ Lesion image/ Image segmentation/ C - V model/ Weighted color/ Level set分类
信息技术与安全科学引用本文复制引用
胡秋霞,田杰,何东健,宁纪锋..基于改进型C-V模型的植物病斑图像分割[J].农业机械学报,2012,43(5):157-161,5.基金项目
国家自然科学基金资助项目(60975007、61001100、61003151) （60975007、61001100、61003151）
