摘要
提出一种基于自适应融合的多尺度多方向Gabor滤波图像增强方法。使用特定不同方向不同尺度Gabor滤波器与图像卷积,卷积图像进行规格化,通过取极小值和平均值对多通道图像Gabor滤波结果进行自适应融合,得到增强图像。并将其用于AFM显微图像增强,能有效消除阴影和噪声,获得良好效果。
An image enhancement method based on adaptively fusing output from multi-scale and multi-orientation Gabor tilters is presented. First, image convolved with Gabor filters of different scale and orientation, then regulated the output of filters, finally fused the output images using minimum and mean, and the enhanced image is obtained. The experimental results show that the method is fit for micrograph, noise and shadow in micrograph removed efficiently.
出处
《计算机工程与设计》
CSCD
北大核心
2008年第21期5522-5523,5542,共3页
Computer Engineering and Design
基金
四川省教育厅重点基金项目(2006A166)
四川省教育厅重大培育基金项目(07ZZ017)
