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Proceedings Paper

FLIR image segmentation based on DA-GMRF model
Author(s): Lin Qi; Zelin Shi
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Paper Abstract

In order to conquer the drawback of over-smoothness in the MRF model, a kind of discontinuity-adaptive Gaussian Markov random field (DA-GMRF) model is defined, in which the edge information of image is used to construct corresponding energy functions. After this a FLIR image segmentation method based on DA-GMRF model is proposed, which includes initialization and optimization of the label field. A multi-threshold image segmentation algorithm based on potential function of gray histogram is presented to initialize the label field. This algorithm can determine region number and multi-thresholds automatically. Metroplis Sampler algorithm is adopted to optimize the label field. Segmentation experiments on several images show that the algorithm proposed is effective.

Paper Details

Date Published: 15 November 2007
PDF: 7 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678610 (15 November 2007); doi: 10.1117/12.747381
Show Author Affiliations
Lin Qi, Shenyang Institute of Automation (China)
Graduate School, Chinese Academy of Sciences (China)
Zelin Shi, Shenyang Institute of Automation (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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