首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于自适应域值分割与力矩的棉花异性纤维分类方法
引用本文:刘双喜,王金星,郑文秀,张 馨.基于自适应域值分割与力矩的棉花异性纤维分类方法[J].农业工程学报,2009,25(13):320-324.
作者姓名:刘双喜  王金星  郑文秀  张 馨
作者单位:山东农业大学机械与电子工程学院,泰安 271018;山东农业大学机械与电子工程学院,泰安 271018;山东农业大学机械与电子工程学院,泰安 271018;山东农业大学机械与电子工程学院,泰安 271018
基金项目:“十一五”国家科技支撑计划资助项目子课题(2006BAD11A14-3)
摘    要:为能够准确统计出棉花中所含异性纤维的重量和数目,提出一种机器视觉与图像处理技术,对棉花异性纤维进行检测分类。在提取棉花异性纤维原始图像的基础上,采用灰度处理和滤波技术完成图像的预处理,采用自适应域值技术来完成棉花异性纤维图像分割,在分割出的二值化图像基础上,采用挖空内点法和邻域搜索法进行轮廓提取,提出以异性纤维轮廓的面积与周长平方之比作为力矩,对棉花异性纤维进行分类。通过对300个棉花异性纤维样本图像进行了试验,分类准确率可以达到96%。结果表明该技术和分类力矩可以准确的对棉花异性纤维进行初分类。

关 键 词:棉花纤维,分类,图像识别,特征提取,异性纤维
收稿时间:8/6/2008 12:00:00 AM
修稿时间:2/5/2009 12:00:00 AM

Classification method of adaptive threshold segmentation algorithm and moment for foreign fibers in cotton
Liu Shuangxi,Wang Jinxing,Zheng Wenxiu and Zhang Xin.Classification method of adaptive threshold segmentation algorithm and moment for foreign fibers in cotton[J].Transactions of the Chinese Society of Agricultural Engineering,2009,25(13):320-324.
Authors:Liu Shuangxi  Wang Jinxing  Zheng Wenxiu and Zhang Xin
Abstract:This paper reports tests and classification of the foreign fibers in cotton using machine vision and image processing technology in order to get numbers and weight of the foreign fiber. With gray-scale transforming and filtering technology, the authors pre-treated the original extracted image of the foreign fibers in cotton and presented image segmentation method based on self-adaptation threshold partition algorithm. The segmented binary images were processed for contour extraction and classified which takes the ratio of area of foreign fiber contour to perimeter square as the moment and adopts interior pixel points scooping method and neighborhood search method. The tests included 300 foreign fiber cotton images and the classification accuracy rate reached 96%. The results show this method is effective and accurate.
Keywords:cotton fibers  classification  image recognition  feature extraction  foreign fibers
点击此处可从《农业工程学报》浏览原始摘要信息
点击此处可从《农业工程学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号