红外与毫米波学报, 2012, 31 (1): 57, 网络出版: 2012-02-13  

镜像曲波掌部静脉影像增强方法

Palm vein image enhancement based on mirror-extended curvelet transform
作者单位
1 江南大学 物联网工程学院,江苏 无锡 214122
2 中国科学院上海技术物理研究所,上海 200083
摘要
针对掌部静脉红外影像信噪比低、对比度不高、难以实现准确特征提取的情况,提出一种基于多尺度镜像曲波变换的掌部静脉影像增强新方法.基于多尺度曲波系数表达能力的剖析,该方法完全抑制了噪声高、特征信息少的高频子带系数,在去噪的同时非线性增强了细节特征丰富的中频子带系数,拉伸了反映影像整体对比度的低频子带系数.实验表明,该方法主观视觉评价和客观评价指数都显著提高,有效增强了低对比度掌部静脉红外影像特征,提高了影像信噪比和信息熵,其对静脉边缘特征的表达能力更优于双正交小波增强和直方图均衡化方法.
Abstract
A novel low contrast IR image enhancement method based on multi-scale mirror-extended curvelet transform was proposed to solve the problems of the palm vein IR images, such as low SNR (Signal/Noise) and low grayscale contrast as the results of incorrect feature extraction of palm vein. Based on the analysis of the strong relationship between multi-scale curvelet coefficients and different scales of detailed vein features, coefficients of high frequency subbands, where most of the noises and few features located, were set zero. The coefficients of middle frequency subbands, where most of the features concentrated, were nonlinearly enhanced during the denoising process. The coefficients of low frequency subbands who determined the global grayscale contrast were stretched. Experimental results show that the proposed method can efficiently enhance the features of low contrast palm vein IR images with increased evaluation indexes such as SNR and Entropy. By this method the features of vein edges are better preserved and more smoothly emphasized than enhancement methods of biorthogonal wavelet and histogram equalization.

蒋敏, 刘士建, 李丹, 李范鸣, 汪俊. 镜像曲波掌部静脉影像增强方法[J]. 红外与毫米波学报, 2012, 31(1): 57. JIANG Min, LIU Shi-Jian, LI Dan, LI Fan-Ming, WANG Jun. Palm vein image enhancement based on mirror-extended curvelet transform[J]. Journal of Infrared and Millimeter Waves, 2012, 31(1): 57.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!