一种基于自适应阈值的保细节平滑滤波器

基于多尺度多方向的模板,提出一种自适应地的细节平滑算法.该算法一方面保持了模板在保留图像细节特征方面的优势,另一方面利用图像灰度梯度直方图的统计特征,将整幅图像分割成若干子图像,再根据各个子图像的特性,并结合全局梯度特征信息自适应地生成动态阈值,有效地解决了以往阈值选取的困难,提高了图像平滑的自动化程度.与现有的其他算法相比,该算法实现简单,计算速度快,在实际应用中取得了很好的效果.

A MINUTIA PRESERVING SMOOTHING FILTER BASED ON ADAPTIVE THRESHOLD

In this paper,we propose an improved adaptive minutia preserving smoothing algorithm based on multiscale and multidirectional masks. This algorithm keeps the mask's good performance in preserving details. It divides image into sub-images and detects them with adaptive threshold value according to the gradient information of the whole and the local image. This method deals with the difficulty of choosing threshold and improves the automatization of image smoothing. Compared with other present methods,this algorithm is easier and faster to implement in computer and has better performance in practice.