Guide filter-based gradient vector flow module for infrared image segmentation

	Guide filter-based gradient vector flow module for infrared image segmentation
	Zhao, F.; J. Zhao; W. D. Zhao and F. Qu
	2015
发表期刊	Applied Optics
卷号	54 期号:33 页码:9809-9817
摘要	Infrared image segmentation is a challenging topic since infrared images are characterized by high noise, low contrast, and weak edges. Active contour models, especially gradient vector flow (GVF), have better segmentation performance for clear images. However, the GVF model has the drawbacks of sensitivity to noise and adaptability of the parameters, decreasing the effect of infrared image segmentation significantly. To address these problems, this paper proposes a guide filter-based gradient vector flow module for infrared image segmentation (GFGVF). First, a guide filter is exploited to construct a novel edge map, providing characteristics of the image edge while excluding the effects of noise. This alleviates the possibility of edge leakage caused by using the traditional edge map. Then, a novel weighting function is constructed to effectively handle the extended capture range and preserving the edge even with noise existing. The experimental results demonstrate that the GFGVF model possesses good properties such as large capture range, concavity convergence, noise robustness, and alleviative boundary leakage. (C) 2015 Optical Society of America
收录类别	SCI
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/55256
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Zhao, F.,J. Zhao,W. D. Zhao and F. Qu. Guide filter-based gradient vector flow module for infrared image segmentation[J]. Applied Optics,2015,54(33):9809-9817.
APA	Zhao, F.,J. Zhao,&W. D. Zhao and F. Qu.(2015).Guide filter-based gradient vector flow module for infrared image segmentation.Applied Optics,54(33),9809-9817.
MLA	Zhao, F.,et al."Guide filter-based gradient vector flow module for infrared image segmentation".Applied Optics 54.33(2015):9809-9817.

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