Changchun Institute of Optics,Fine Mechanics and Physics,CAS
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
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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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Guide filter-based g(1580KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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