An Apparatus and Method for Real-Time Stacked Sheets Counting With Line-Scan Cameras

被引:12
作者
Chen, Tiejian [1 ]
Wang, Yaonan [1 ]
Xiao, Changyan [1 ]
机构
[1] Hunan Univ, Coll Elect & Informat Engn, Changsha 410208, Hunan, Peoples R China
基金
美国国家科学基金会;
关键词
Bi-Gaussian kernel; machine vision; packing industry; ridge detection; sheet counting; PEAK DETECTION ALGORITHMS; MASS-SPECTROMETRY DATA; IMAGES; FILTER; MODEL;
D O I
10.1109/TIM.2014.2366977
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
To satisfy the requirement of quality control in printing and packaging industry, a sheet counting apparatus is developed, which adopts a line-scan camera to image the fringes of sheet stack and is able to provide a real-time and noncontact measurement of their quantity. With a brief introduction of the system architecture, our main work focuses on the sheet counting algorithms. The basic principle is to identify each sheet profile from the 1-D image with a robust ridge strength measurement. First, a multiscale bi-Gaussian ridge likelihood measurement and a ridge-valley descriptor are utilized to improve adjacent objects detection by increasing local contrast around sheet fringes. Then, a sheet recognition scheme, which integrates a peak detection algorithm and the ridge region criteria for verification, is proposed to discriminate true sheets from the obtained ridgeness measure. According to experiments and tests in real production lines, our apparatus can reach a very high measuring accuracy for printing papers or cards with a thickness not <0.2 mm.
引用
收藏
页码:1876 / 1884
页数:9
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