基于单尺度Retinex的可控手指静脉图像拼接算法  被引量:2

Controllable Finger Vein Images Mosaic Algorithm Based on Single-Scale Retinex

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作  者:林剑[1] 钟舜聪[1,2] LIN Jian;ZHONG Shuncong(Laboratory of Optics, Terahertz and Non-destructive Testing & Evaluation, School of Mechanical Engineering and Automation,Fuzhou University, Fuzhou Fujian 350108, China;School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China)

机构地区:[1]福州大学机械工程及自动化学院光学/太赫兹及无损检测实验室,福建福州350108 [2]上海大学机电工程及自动化学院,上海200444

出  处:《中国医疗设备》2017年第11期55-60,共6页China Medical Devices

基  金:国家自然科学基金资助项目(51005077);国家卫生和计划生育委员会科研基金(WKJ-FJ-27);教育部高等学校博士学科点科研基金(20133514110008);福建省杰出青年基金(2014J07007);福建省自然科学基金项目(2015J01234)

摘  要:本文针对小型化图像采集模块所采集的两幅同源且具有重叠部分的手指静脉图像,提出一种基于单尺度Retinex的可控手指静脉图像拼接算法。通过改进的单尺度Retinex算法对手指静脉图像进行增强,采用SIFT算法提取增强后的两幅手指静脉图像特征点,使用欧式距离作为相似性度量工具对特征点进行粗匹配,用RANSAC算法估算图像间的单应矩阵,同时结合本文的透视变换图像轮廓顶点的约束条件控制图像拼接结果,最后采用像素加权平均融合算法实现手指静脉图像的无缝拼接。实验结果表明,该图像拼接算法拼接可控,视觉效果良好,适用于手指静脉图像拼接。A controllable mosaic algorithm based on single-scale Retinex was proposed for two partially overlapping finger vein images from small image acquisition module.Firstly,finger vein images were enhanced by a modified single-scale Retinex.Subsequently,the feature points from two finger vein images were extracted and descripted by SIFT algorithm.Rough matched feature points were obtained by similarity measure with Euclidean distance.RANSAC algorithm was employed to eliminate error matched points and the homography matrix between two finger vein images was estimated.Meanwhile,constraints of the perspectively transformed image contour vertices were set to control the results of the image mosaic.Two finger vein images were stitched together and a weighted average fusion algorithm was used for seam elimination.The result of finger vein images mosaic can be controlled through constraints of the perspectively transformed image contour vertices.Experimental results demostrate that this algorithm is controllable,and suitable for finger vein images mosaic.

关 键 词:手指静脉识别 图像拼接 尺度不变特征转换 图像增强 单尺度Retinex 

分 类 号:TP391.4[自动化与计算机技术—计算机应用技术] TN911.7[自动化与计算机技术—计算机科学与技术]

 

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