Precision Work-piece Detection and Measurement Combining Top-down and Bottom-up Saliency

作     者：Jia Sun Peng Wang Yong-Kang Luo Gao-Ming Hao Hong Qiao 

作者机构：Institute of AutomationChinese Academy of SciencesBeijing 100190China University of Chinese Academy of SciencesBeijing 100190China 

出 版 物：《International Journal of Automation and computing》 (国际自动化与计算杂志（英文版）)

年 卷 期：2018年第15卷第4期

页      面：417-430页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 0701[理学-数学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by National Natural Science Foundation of China(Nos.61379097,91748131,61771471,U1613213 and 61627808) National Key Research and Development Plan of China(No.2017YFB1300202) Youth Innovation Promotion Association Chinese Academy of Sciences(CAS)(No.2015112) 

主　　题：Work-pieces detection salient region estimation top-down and bottom-up saliency（TBS） calibration visual measurement. 

摘      要：In this paper, a fast and accurate work-piece detection and measurement algorithm is proposed based on top-down feature extraction and bottom-up saliency estimation. Firstly, a top-down feature extraction method based on the prior knowledge of work- pieces is presented, in which the contour of a work-piece is chosen as the major feature and the corresponding template of the edges is created. Secondly, a bottom-up salient region estimation algorithm is proposed, where the image boundaries are labelled as background queries, and the salient region can be detected by computing contrast against image boundary. Finally, the calibration method for vision system with telecentric lens is discussed, and the dimensions of the work-pieces are measured. In addition, strategies such as image pyramids and a stopping criterion are adopted to speed-up the algorithm. An automatic system embedded with the proposed detection and measurement algorithm combining top-down and bottom-up saliency （DM-TBS） is designed to pick out defective work-pieces without any manual auxiliary. Experiments and results demonstrate the effectiveness of the proposed method.