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Proceedings Paper

An image localization system based on gradient Hough transform
Author(s): Yuqing Liu; Jun Zhang; Jinwen Tian
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Paper Abstract

With the development of image processing and computer vision, automatic target locating in computer vision has been matured and replaced the manual target locating in some fields. Complex background image localization has many important applications in traffic control and management, industrial assembly, industrial control, and other fields. In this paper, we built an image localization system based on Gradient Hough Transform applied in circular device detection and localization in industrial control. This system aimed to correcting the mechanical deviation by using image localization. This image localization system includes image preprocessing, edge extraction, circle detection, localization of the center of the circular device, deviation calculation and feedback. According to the experimental result, the accuracy of this method in the actual system less than 0.3mm, and the system can basically achieve the real-time detection.

Paper Details

Date Published: 14 December 2015
PDF: 5 pages
Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 98151F (14 December 2015); doi: 10.1117/12.2205234
Show Author Affiliations
Yuqing Liu, Huazhong Univ. of Science and Technology (China)
Jun Zhang, Huazhong Univ. of Science and Technology (China)
Jinwen Tian, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9815:
MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Jianguo Liu; Hong Sun, Editor(s)

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