现代纺织技术2017，Vol.25Issue(6)：23-26,4.DOI:10.19398/j.att.2017.06.005
一种基于Canny的原棉杂质图像分割方法研究
Research of Canny-based Image Segmentation Method of Raw Cotton Impurities
夏彬 1张亚利 2王飞3
作者信息
- 1. 中华全国供销合作总社郑州棉麻工程技术设计研究所,郑州 450000
- 2. 河南省工业设计学校,郑州 450000
- 3. 东华大学纺织面料技术教育部重点实验室,上海 200051
- 折叠
摘要
Abstract
Considering the low efficiency and low effectiveness of manual inspection of raw cotton impurities,this paper proposes a Canny-based method of raw cotton image segmentation.According to the method,the second-order differential enhanced image of gray is to be calculated first,then the image border is to be tested with the method of gradient threshold choice method,and non-maximum suppression and join morphological operation are to be combined on this basis,to ensure the effect of image segmentation.Simulation experiment results of raw cotton impurities image segmentation show that the method works to remove impurities from raw cotton background,and the impurities edges obtained with the method are clear and fluent,which is good for classifying and recognizing raw cotton impurities subsequently,and provides technical support and data reference for the development and research of machine visual inspection system in the field of cotton fiber inspection.关键词
原棉杂质/图像分割/Canny/杂质边缘/视觉检测Key words
raw cotton impurities/image segmentation/Canny/impurities edge/machine visual inspection分类
轻工纺织引用本文复制引用
夏彬,张亚利,王飞..一种基于Canny的原棉杂质图像分割方法研究[J].现代纺织技术,2017,25(6):23-26,4.
