DocumentCode :
3024648
Title :
An efficient infrared image segmentation method
Author :
Jiehong Wu ; Po Zhang ; Xiangbin Shi ; Fang Liu
Author_Institution :
Sch. of Comput. Sci., Shenyang Aerosp. Univ., Shenyang, China
fYear :
2013
fDate :
20-22 Dec. 2013
Firstpage :
1449
Lastpage :
1452
Abstract :
In order to solve the problem of efficiency of infrared image segmentation, a double threshold and MRF based infrared image segmentation method is proposed in this paper. Firstly, a double-threshold method is used initially, which aims to segment infrared image to get the energy parameters and infrared image´s seeds pixels. Then, MRF framework is used, aiming at building the Graph cuts model and getting the final segmentation. At last, it´s shown that better segmentation results can be got using the proposed method in the experiment, and real-time requirements are met.
Keywords :
Markov processes; graph theory; image segmentation; infrared imaging; random processes; MRF based infrared image segmentation method; MRF framework; Markov random field; double-threshold method; energy parameters; graph cuts model; infrared image seeds pixels; Histograms; Image segmentation; Labeling; Markov random fields; Minimization; Signal processing algorithms; Standards; Graph cuts; MRF; image segmentation; infrared image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
Type :
conf
DOI :
10.1109/MEC.2013.6885295
Filename :
6885295
Link To Document :
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