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基于水平集的手指静脉图像分割 被引量:3

Finger-vein image segmentation based on level set
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摘要 针对手指静脉图像中存在的弱边缘、灰度不均匀以及低对比度等现象,提出一种结合偶对称Gabor滤波与水平集思想的分割算法,并应用于手指静脉图像的分割。首先,使用偶对称Gabor滤波算法,对手指静脉图像从8个不同的方向分别进行滤波运算;然后,根据8个方向上的滤波结果进行图像重建,得到目标与背景灰度对比度显著提高的图像;最后,应用结合局部与全局信息的水平集方法对手指静脉图像进行分割。将所提算法与Li等水平集算法(LI C,HUANG R,DING Z,et al.A variational level set approach to segmentation and bias correction of images with intensity inhomogeneity.MICCAI'08:Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention,Part II.Berlin:Springer,2008:1083-1091)、Legendre水平集(L2S)算法相比,所提算法在分割精度评价标准面积差异(AD)百分比上分别降低了1.116%、0.370%,相对差异度(RDD)分别降低了1.661%、1.379%。实验结果表明,与传统只考虑局部信息或全局信息的水平集图像分割算法相比,所提算法能取得更高的分割精度。 To deal with weak edge, intensity inhomogeneity and low contrast that may appear in finger-vein images, a new segmentation algorithm based on even-symmetric Gabor filter and level set method was proposed. Firstly, the evensymmetric Gabor filter was used to filter the finger-vein image through 8 different orientations; secondly, finger-vein image based on the 8 filtered results was reconstructed to obtain the high quality image with significantly improved gray contrast between target and background; finally, the level set algorithm combining local features and global features was applied to segment finger-vein image. Compared with the level set algorithm proposed by Li, et al.( LI C, HUANG R, DING Z, et al.A variational level set approach to segmentation and bias correction of images with intensity inhomogeneity. MICCAI'08:Proceedings of the 11 th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II.Berlin: Springer, 2008: 1083- 1091), and Legendre Level Set( L2S) algorithm, the percentage of Area Difference( AD) of the proposed algorithm decreased by 1. 116% and 0. 370% respectively, and the Relative Difference Degree( RDD) reduced by 1. 661% and 1. 379% respectively. The experimental results show that the proposed algorithm can achieve better results compared with traditional level set image segmentation algorithms that only consider local information or global information.
出处 《计算机应用》 CSCD 北大核心 2016年第2期526-530,共5页 journal of Computer Applications
基金 国家自然科学基金资助项目(61103070) 同济大学青年优秀人才培养行动计划项目(2013KJ008) 中央高校基本科研业务费专项~~
关键词 灰度不均匀 低对比度 GABOR滤波 水平集 图像分割 intensity inhomogeneity low contrast Gabor filter level set image segmentation
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参考文献16

  • 1LIU Z, YIN Y, WANG H, et al. Finger vein recognition with manifold learning[J]. Journal of Network and Computer Applications, 2010, 33(3): 275-282. 被引量:1
  • 2SNELICK R, ULUDAG U, MINK A, et al. Large-scale evaluation of multimodal biometric authentication using state-of-the-art systems[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(3): 450-455. 被引量:1
  • 3MIURA N, NAGASAKA A, MIYATAKE T. Feature extraction of finger-vein patterns based on repeated line tracking and its application to personal identification[J]. Machine Vision and Applications, 2004, 15(4): 194-203. 被引量:1
  • 4陈立伟,倪杰.基于多阈值模糊增强的手指静脉图像分割[J].应用科技,2011,38(4):14-18. 被引量:6
  • 5YANG J, SHI Y. Finger-vein ROI localization and vein ridge enhancement[J]. Pattern Recognition Letters, 2012, 33(12): 1569-1579. 被引量:1
  • 6WILLIAMS D J, SHAH M. A fast algorithm for active contours and curvature estimation[J]. CVGIP: Image Understanding, 1992, 55(1): 14-26. 被引量:1
  • 7陈波,赖剑煌.用于图像分割的活动轮廓模型综述[J].中国图象图形学报,2007,12(1):11-20. 被引量:54
  • 8OSHER S, SETHIAN J A. Fronts propagating with curvature-de-pendent speed: algorithms based on Hamilton-Jacobi formulations[J]. Journal of Computational Physics, 1988, 79(1): 12-49. 被引量:1
  • 9MUMFORD D, SHAH J. Optimal approximations by piecewise smooth functions and associated variational problems[J]. Communications on Pure and Applied Mathematics, 1989, 42(5): 577-685. 被引量:1
  • 10GABOR D. Theory of communications[J]. Journal of the Institute of Electrical Engineers, 1946, 93: 429-457. 被引量:1

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