Edge Detection of Welding Seam Image Based on Two-dimensional Fuzzy Entropy and Genetic Algorithm

DOI

10.2991/isrme-15.2015.140How to use a DOI?

Keywords

Two-dimensional Fuzzy Entropy; Edge detection; Genetic Algorithm; Threshold

Abstract

The weld image acquisition is generally under the environment of arc, soot and other complex, weld image edge detection is more difficult, this paper proposes a new two-dimensional fuzzy entropy extraction algorithm. When dealing with image edge detection, using the genetic algorithm to obtain the global optimal solution of the edge, the algorithm calculate the two-dimensional fuzzy entropy threshold, thereby which avoid the need large amount of calculation. The simulation results show that the genetic algorithm’ convergence to the optimal threshold, near won greatly reduce the running time, detection of weld edge image clearer, achieve the desired effect.

Copyright

© 2015, 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  - Xiangying Dang
AU  - Dan Li
PY  - 2015/04
DA  - 2015/04
TI  - Edge Detection of Welding Seam Image Based on Two-dimensional Fuzzy Entropy and Genetic Algorithm
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 703
EP  - 706
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.140
DO  - 10.2991/isrme-15.2015.140
ID  - Dang2015/04
ER  -