A Method of Near-Infrared Image Acquisition Based on Image Quality Assessment
Because of the non-contact mode of the computer vision technology, it is widely and safely used in the field of industrial detection and measurement. This paper focuses on aspects of image acquisition, and the images get enhanced in the capture part. The measurement accuracy and the systems adaptability improve in this way. This paper discusses the near-infrared gray-scale images characters, analysis the image quality assessment method based on the image information entropy. In the whole system, taking the image quality assessment as feedback tool, regarding the assessment results as a reference indicator, adjusting the light signal and re-capture, until the optimal image is collected.
Vein identification Near-infrared Image quality assessment Entropy
Cui Jianjiang Wang Lihui Sun Lei Zhang Yaowen Wang Guoren
School of Information Science and Engineering Northeastern University, China No.11, Lane 3, Wenhua Road, Heping District, Shenyang, 110004 China
国际会议
沈阳
英文
509-512
2009-08-27（万方平台首次上网日期，不代表论文的发表时间）