Hand Vein Images Enhancement Based on Local Gray-level Information Histogram

International Journal Bioautomation

Wenhui Yu¹  Ming Li¹  Wenkai Du¹  Guoqing Wang¹  Jun Wang² 

[1] ;School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, 221110, China;

关键词: Contrast enhancement;    Gray-level information histogram;    Histogram equalization;    Vein topological structure;    Image quality evaluation;   

DOI  :  

来源: DOAJ

【 摘 要 】

Based on the Histogram equalization theory, this paper presents a novel concept of histogram to realize the contrast enhancement of hand vein images, avoiding the lost of topological vein structure or importing the fake vein information. Firstly, we propose the concept of gray-level information histogram, the fundamental characteristic of which is that the amplitudes of the components can objectively reflect the contribution of the gray levels and information to the representation of image information. Then, we propose the histogram equalization method that is composed of an automatic histogram separation module and an intensity transformation module, and the histogram separation module is a combination of the proposed prompt multiple threshold procedure and an optimum peak signal-to-noise (PSNR) calculation to separate the histogram into small-scale detail, the use of the intensity transformation module can enhance the vein images with vein topological structure and gray information preservation for each generated sub-histogram. Experimental results show that the proposed method can achieve extremely good contrast enhancement effect.

【 授权许可】

Unknown