农机化研究Issue(10)：40-44,5.
基于 HSI 色彩空间与 FFCM 聚类的葡萄图像分割
Segmentation of Grapes Image Based on HSI Color Space and FFCM Clustering Algorithm
摘要
Abstract
In order to adapt to the agricultural picking robots needing to recognize grapes quickly and accurately , a new segmentation method that based on HSI color space and fast fuzzy C-means clustering ( FFCM ) algorithm characterized by histogram informations is presented .This method is that original RGB images is transformed into HSI images , and using H component as clustering segmentation of data to cluster gray image according to the FFCM algorithm .By analying the testing of xiahei grapes under natural light , facing of the light and backlight ,the image segmentation method of this paper can split grapes fastly from the complex natural environments and provide some references for the research of agri -cultural robots .关键词
葡萄/图像分割/HSI色彩空间/直方图/快速模糊C-均值聚类Key words
grapes/segmentation of image/HSI color space/histogram/fast fuzzy C-means clustering分类
信息技术与安全科学引用本文复制引用
宋西平,李国琴,罗陆锋,邹湘军,张丛..基于 HSI 色彩空间与 FFCM 聚类的葡萄图像分割[J].农机化研究,2015,(10):40-44,5.基金项目
国家自然科学基金项目 （）
