An Improved Method of Hough Transform for Circle Recognition Based on Optimized Gradient

DOI

10.2991/fmsmt-17.2017.123How to use a DOI?

Keywords

Hough transform, Circle recognition, Optimized gradient.

Abstract

For the situation in which the low accuracy of circular hole recognition in hole workpiece based on image processing technology, a method of Optimized Gradient Hough Transform(OGHT) for circle recognition is proposed. Based on the Standard Hough Transform (SHT), the OGHT is used to extract the edge feature firstly, then select a certain number of edge pixels to evaluate the gradient to determine the center of circle. Next, calculating and sorting the coincidence degree between the rounds recognized by Standard Hough Transform and the edge in source image, and finally the highest rank is identified as the circle we needed. The proposed method is verified by comparative experiments, which improves the accuracy of circle recognition with little effect on efficiency.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Kui He
AU  - YP Hu
PY  - 2017/04
DA  - 2017/04
TI  - An Improved Method of Hough Transform for Circle Recognition Based on Optimized Gradient
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 617
EP  - 622
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.123
DO  - 10.2991/fmsmt-17.2017.123
ID  - He2017/04
ER  -