天津科技大学学报2018，Vol.33Issue(1)：61-65,5.DOI:10.13364/j.issn.1672-6510.20160122
机器视觉油炸鱼豆腐外观缺陷识别与剔除系统
A Detecting and Eliminating System to Deal with Appearance Defects of Fried-Fish-Bean-Curd Based on Machine Vision
摘要
Abstract
A detecting and eliminating system to deal with appearance defects of fired-fish-bean-curd has been developed, which makes use of color and shape features to detect,recognize and eliminate products of bad appearance on line.It takes the B component threshold in RGB color space as the criterion for the color appearance of the product;the area and degree of similarity of the image with rectangle are used to distinguish defects in shape appearance.The defect recognition results of each line can be translated into special information code automatically after the products are sorted into order by the sorting mechanism,and then the elimination device will use SCM to reject unqualified products automatically.Experimental results show that this system can be applied to fried-fish-bean-curd appearance detection and elimination,and thus improve the technology and quality of the production line.关键词
机器视觉/鱼豆腐/颜色特征/形状特征/在线剔除Key words
machine vision/fired-fish-bean-curd/color feature/form feature/online elimination分类
信息技术与安全科学引用本文复制引用
路丹丹,王永强,詹海翔,颜飞,曹深深,韩文龙,全洪涛..机器视觉油炸鱼豆腐外观缺陷识别与剔除系统[J].天津科技大学学报,2018,33(1):61-65,5.基金项目
天津市东丽区科技发展专项基金项目(0000202) （0000202）
