FLIR image segmentation based on DA-GMRF model

Lin Qi; Zelin Shi

doi:10.1117/12.747381

15 November 2007 FLIR image segmentation based on DA-GMRF model

Lin Qi, Zelin Shi

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 678610 (2007) https://doi.org/10.1117/12.747381
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Lin Qi and Zelin Shi "FLIR image segmentation based on DA-GMRF model", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678610 (15 November 2007); https://doi.org/10.1117/12.747381

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KEYWORDS

Image segmentation

Forward looking infrared

Image processing algorithms and systems

Image processing

Data modeling

Edge detection

Magnetorheological finishing

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