中国医疗设备2017，Vol.32Issue(11)：55-60,6.DOI:10.3969/j.issn.1674-1633.2017.11.014
基于单尺度Retinex的可控手指 静脉图像拼接算法
Controllable Finger Vein Images Mosaic Algorithm Based on Single-Scale Retinex
摘要
Abstract
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RetinexKey words
finger vein recognition/images mosaic/scale-invariant feature transform (SIFT)/image enhancement/single-scale Retinex分类
信息技术与安全科学引用本文复制引用
林剑,钟舜聪..基于单尺度Retinex的可控手指 静脉图像拼接算法[J].中国医疗设备,2017,32(11):55-60,6.基金项目
国家自然科学基金资助项目(51005077) （51005077）
国家卫生和计划生育委员会科研基金(WKJ-FJ-27) （WKJ-FJ-27）
教育部高等学校博士学科点科研基金(20133514110008) （20133514110008）
福建省杰出青年基金(2014J07007) （2014J07007）
福建省自然科学基金项目(2015J01234). （2015J01234）
