刘建科, 李洋. 针对光照不均的低对比度手指静脉增强[J]. 微电子学与计算机, 2012, 29(12): 91-93,98.
引用本文: 刘建科, 李洋. 针对光照不均的低对比度手指静脉增强[J]. 微电子学与计算机, 2012, 29(12): 91-93,98.
LIU Jian-ke, LI Yang. Enhancement on the Low Contract Finger Vein Image under Non-uniform Illumination[J]. Microelectronics & Computer, 2012, 29(12): 91-93,98.
Citation: LIU Jian-ke, LI Yang. Enhancement on the Low Contract Finger Vein Image under Non-uniform Illumination[J]. Microelectronics & Computer, 2012, 29(12): 91-93,98.

针对光照不均的低对比度手指静脉增强

Enhancement on the Low Contract Finger Vein Image under Non-uniform Illumination

  • 摘要: 为了克服因光照强度和手指厚度对手指静脉图像产生光照不均、对比度较低等的影响,提出了基于同态滤波的立方卷积插值的直方图均衡化方法.在进行局部直方图均衡化处理的基础上,利用同态滤波变换,对每一个子块的低频信息进行处理,再通过图像插值重新确定灰度值.实验表明,这种方法能有效地改善图像的对比度不足和光照不均.

     

    Abstract: In order to overcome the effect raised by different illumination intensity and thickness of finger on the finer vein image, such as non-uniform illumination and low contract, this paper presents a new method which combined the homomorphic filter method and cubic convolution interpolation method in histogram equalization method.After making the partial histogram equalizations presented, homomorphic filtering is used to deal the low frequency information in every block, then to determine the gray value through the image interpolation.Experiments indicate that the proposed method can strengthen the contrast and illumination of the finger vein image effectively.

     

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