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