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对基于图像分割与合并的相位展开算法的改进
引用本文:王华英,张志会,刘飞飞,宋修法,熊南燕,赵宝群,于梦杰,刘佐强. 对基于图像分割与合并的相位展开算法的改进[J]. 中国激光, 2012, 39(10): 1009002-193
作者姓名:王华英  张志会  刘飞飞  宋修法  熊南燕  赵宝群  于梦杰  刘佐强
作者单位:王华英:河北工程大学信息与电气工程学院, 河北 邯郸 056038河北工程大学理学院, 河北 邯郸 056038
张志会:河北工程大学信息与电气工程学院, 河北 邯郸 056038
刘飞飞:河北工程大学信息与电气工程学院, 河北 邯郸 056038
宋修法:河北工程大学理学院, 河北 邯郸 056038
熊南燕:河北工程大学医学院, 河北 邯郸 056038
赵宝群:河北工程大学理学院, 河北 邯郸 056038
于梦杰:河北工程大学信息与电气工程学院, 河北 邯郸 056038
刘佐强:河北工程大学信息与电气工程学院, 河北 邯郸 056038
基金项目:国家自然科学基金(61077001、61144005)、河北省自然科学基金(F2010001038、F2012402059)、河北省科技支撑计划项目(09277101D)和河北省教育厅科学研究重点项目(ZH2011241)资助课题。
摘    要:为了提高基于图像分割与合并的相位展开算法的精度,对已有的一种算法进行多方面改进,采取区域不等分措施,使得区域信息完整、准确再现;针对不同区域的噪声及欠采样情况,分别采取不同的相位展开算法;对分块合并时重叠区域进行加权叠加处理。利用仿真和实测数据对算法进行了验证,结果表明,改进算法能更准确、快速地恢复出被测物体的相位信息。改进后的算法不但适合于超大规模图像的相位展开,也适合于部分区域条纹过密的包裹相位图的展开。

关 键 词:全息  相位解包裹算法  快速傅里叶变换  欠采样  噪声
收稿时间:2012-05-29

Improved Phase Unwrapping Algorithm Based on Image Segmentation and Mergers
Wang Huaying,Zhang Zhihui,Liu Feifei,Song Xiufa,Xiong Nanyan,Zhao Baoqun,Yu Mengjie,Liu Zuoqiang. Improved Phase Unwrapping Algorithm Based on Image Segmentation and Mergers[J]. Chinese Journal of Lasers, 2012, 39(10): 1009002-193
Authors:Wang Huaying  Zhang Zhihui  Liu Feifei  Song Xiufa  Xiong Nanyan  Zhao Baoqun  Yu Mengjie  Liu Zuoqiang
Affiliation:1 School of Information and Electronic Engineering,Hebei University of Engineering,Handan,Hebei 056038,China 2 College of Science,Hebei University of Engineering,Handan,Hebei 056038,China 3 Medical College,Hebei University of Engineering,Handan,Hebei 056038,China
Abstract:In order to increase the accuracy of the phase unwrapping algorithm based on image segmentation and merging, an improved algorithm based on existing algorithm is proposed. The method of unequal region segmentation is taken to make the regional information complete and accurate reproduction. For different regions with noise and under sampling conditions, different phase unwrapping algorithms are taken respectively. A weighted stack approach to improve the accuracy of the phase unwrapping results of merging the overlapping region of the block is presented. Simulation and measurement are taken to test the improved algorithm. The results show that the improved algorithm recovers the phase information of the measured object more accurately and faster. It is not only suitable for dealing with the phase unwrapping of large interferogram, but also for dealing with the wrapped phase which has areas with too dense stripes.
Keywords:holography  phase unwrapping algorithm  fast Fourier transform  under sampling  noise
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