基于自适应参数的径向基函数相位解缠算法  

Phase unwrapping based on radial basis function with adaptive parameters

作　　者：胡山峰[1] 章权兵[1] 张成[1] 陈雅萍[1] HU Shan-feng ZHANG Quan-bing ZHANG Cheng CHEN Ya-ping(Key Laboratory of Intelligent Computing ＆ Signal Processing, Ministry of Education of China, Anhui University, Hefei 230039 ,Chin)

机构地区：[1]安徽大学计算智能与信号处理教育部重点实验室,安徽合肥230039

出　　处：《光电子．激光》2017年第3期290-295,共6页Journal of Optoelectronics·Laser

基　　金：国家自然科学基金(61201396;61301296;61377006)资助项目

摘　　要：为了改进基于径向基函数的相位解缠(RBFPU)算法,针对不同的缠绕图,提出了一种自适应参数的RBFPU(ADRBFPU)算法:先对图像进行分块,然后按照各块的图像复杂度确定对应的径向基函数的宽度。实验结果表明,在不同噪声水平下,与经典RBFPU算法及经典的质量图导向(QGPU)法和图割(PUMA)法等相比,本文算法具有更好的鲁棒性。Phase unwrapping is a common problem for many phase measurement techniques, which re- stores original continuous phase from the wrapped phases. In this paper, an improved algorithm of phase unwrapping based on radial basis function with adaptive parameters is proposed. Firstly, the image is di- vided into some blocks,and then the width of the radial basis function of each block is determined ac- cording to the complexity of the corresponding block. The experimental results show that the algorithm has better robustness compared with the original radial basis function algorithm,the classical method of the quality map,and graph cutting method in different noise levels.

关 键 词：相位解缠 径向基函数 自适应参数 

分 类 号：TN911.73[电子电信—通信与信息系统]