Surface Defect Detection Method of Mechanical Parts Based on Target Feature

DOI

10.2991/icmmbe-16.2016.45How to use a DOI?

Keywords

Mechanical parts; Surface defect; Target feature; Detection method

Abstract

Through the analysis of surface defect characteristic about mechanical parts, a new method of based on target feature was presented to surface defect detection of mechanical parts. First of all, the test image is processed by mean-filter in order to eliminate the effect of noise on the detection. Secondly, based on the analysis of the characteristic of the surface defect, the segmentation threshold is set, and segment surface defect of mechanical parts. Finally, the effect of noise and outlier on the detection result was eliminated by morphological filtering. Experiment shows that the method can effectively suppress the image background interference, and more accurately realize the surface defect detection of mechanical parts.

Copyright

© 2016, 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  - Chengcheng Wang
AU  - Shengqi Guan
AU  - Wensen Li
AU  - Benben Hong
AU  - Hong Liang
PY  - 2016/09
DA  - 2016/09
TI  - Surface Defect Detection Method of Mechanical Parts Based on Target Feature
BT  - Proceedings of the6th International Conference on Mechatronics, Materials, Biotechnology and Environment (ICMMBE 2016)
PB  - Atlantis Press
SP  - 229
EP  - 232
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmbe-16.2016.45
DO  - 10.2991/icmmbe-16.2016.45
ID  - Wang2016/09
ER  -