The Application of Mathematical Morphology and Sobel Operator in Infrared Image Edge Detection

DOI

10.2991/iiicec-15.2015.205How to use a DOI?

Keywords

Infrared Image; Edge Detection; Mathematical Morphology; Sobel Operator

Abstract

The paper studies the edge detection of infrared image. Aiming at the disadvantage of the low contrast and the fuzzy edge in infrared image, a new algorithm of infrared image edge detection based on mathematical morphology and Sobel operator is proposed. Firstly, it uses four operations of mathematical morphology with different types of structure elements to detect infrared image edge. Then, the useful details of the infrared image can be obtained and the binary image will be got after the infrared image being processed with the four operations. Finally, infrared image edge can be detected by sharping and thinning the binary image that contains the details with Sobel operator. The result shows that the algorithm presented in the paper can effectively detect the infrared image’s edge information compared with the traditional edge detection algorithms. It is proved to be practical and feasible.

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  - Xiaokang Zhang
AU  - Runping Han
PY  - 2015/03
DA  - 2015/03
TI  - The Application of Mathematical Morphology and Sobel Operator in Infrared Image Edge Detection
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 916
EP  - 921
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.205
DO  - 10.2991/iiicec-15.2015.205
ID  - Zhang2015/03
ER  -