CAJ | 학술논문

针对人体手指静脉图像的结构和特点,提出一种基于脊波变换的图像增强算法.该算法对手指静脉图像小波域各高频子带系数进行脊波变换,利用非线性新脊域系数确定法对脊域系数进行处理,然后对各高频子带进行脊波逆变换和小波图像重构.该算法对手指静脉二维曲线奇异处理、边缘增强等具有较好的效果,克服了小波变换在高维曲线奇异和方向选择上的不足.通过与传统的二维离散小波变换边缘增强法和自适应调整系数的脊波变换方法作比较,实验结果表明本算法具有更好的手指静脉图像效果.
침대인체수지정맥도상적결구화특점,제출일충기우척파변환적도상증강산법.해산법대수지정맥도상소파역각고빈자대계수진행척파변환,이용비선성신척역계수학정법대척역계수진행처리,연후대각고빈자대진행척파역변환화소파도상중구.해산법대수지정맥이유곡선기이처리、변연증강등구유교호적효과,극복료소파변환재고유곡선기이화방향선택상적불족.통과여전통적이유리산소파변환변연증강법화자괄응조정계수적척파변환방법작비교,실험결과표명본산법구유경호적수지정맥도상효과.
According to features of the human finger vein images, the algorithm of image enhancement based on the ridgelet transformation is presented in this paper.Firstly the high-frequency sub-band coefficients are transformed by ridgelet after the finger vein image's wavelet transformation.Then the ridgelet coefficients are processed by using the non-linear new coefficient-determined method.At last do the inverse ridgelet transformation for each high-frequency sub-band and the wavelet reconstruction.The algorithm is effective in processing the finger vein's two-dimensional curve singularity and the image edge enhancement.It overcomes the shortages of wavelet transformation in high-dimensional curve singularity and direction choices.Comparing with the traditional two-dimensional discrete wavelet transformation and the ridgelet transformation algorithm through adaptively adjusting the ridgelet transformed coeffients, the experimental results show that the algorithm presented in this paper has a better effect in finger vein's image enhancement.