[1]兰伟,何松柏.采用图像定位与轮廓检测的喷墨宽度测量算法[J].华侨大学学报(自然科学版),2017,38(3):402-407.[doi:10.11830/ISSN.1000-5013.201703021]
　LAN Wei,HE Songbo.Measurement Algorithm of Inking Width Using Image Localization and Contour Detection[J].Journal of Huaqiao University(Natural Science),2017,38(3):402-407.[doi:10.11830/ISSN.1000-5013.201703021]
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采用图像定位与轮廓检测的喷墨宽度测量算法()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第38卷
期数:
2017年第3期
页码:
402-407
栏目:
出版日期:
2017-05-20

文章信息/Info

Title:
Measurement Algorithm of Inking Width Using Image Localization and Contour Detection
文章编号:
1000-5013(2017)03-0402-06
作者:
兰伟1; 2;  何松柏2
1. 重庆城市职业学院 信息工程系, 重庆 402160;2. 电子科技大学 电子工程学院, 四川 成都 610000
Author(s):
LAN Wei1; 2;  HE Songbo2
1. Department of Information Engineering, Chongqing City Vocational College, Chongqing 402160, China; 2. College of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610000, China
关键词:
喷墨宽度;  图像定位;  轮廓检测;  动态阈值熵函数;  边缘检测
Keywords:
inkjet width;  image localization;  contour detection;  dynamic threshold entropy function;  edge detection
分类号:
TP391
DOI:
10.11830/ISSN.1000-5013.201703021
文献标志码:
A
摘要:
提出基于图像定位与轮廓检测的喷墨宽度测量算法.首先,根据图像灰度熵特征与旋转定位函数,提出基于动态阈值熵函数分割与EmguCV的产品定位算子,得到产品中心点坐标与旋转角度;然后,传递给机器人Robert,引导Robert到产品边缘喷墨上方进行局部图像采集;最后,采用大律法分割法处理喷墨边缘图像,设计基于Canny边缘检测与轮廓检测的测量算子,从而完成喷墨宽度测量.实验数据显示:与当前目标宽度测量技术相比,文中算法具有更高的测量精度与稳定性.
Abstract:
This paper proposed a new measurement algorithm of inking width based on image localization and contour detection. Firstly, product location algorithm which’s based on segmentation of dynamic threshold value entropy function and EmguCV was proposed to get product center coordinates and rotation angle, and then passed it to the Robert, and guide the Robert to the local image acquisition edge to command inkjet products. Finally, great law segmentation was adopted to process the image on inkjet edge, based on Canny edge detection and contour measurement operator to complete inkjet width measurement. Experimental data shows that: compared with the current measurement technology, this algorithm has higher precision and stability..

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备注/Memo

备注/Memo:
收稿日期: 2016-04-26
通信作者: 兰伟(1974-),男,副教授,主要从事计算机应用、图像处理的研究.E-mail:183862606@qq.com.
基金项目: 国家自然科学基金资助项目(61001032); 重庆市科技成果转化重点研究资助基金(2015-ZJ-006)
更新日期/Last Update: 2017-05-20