两步相移数字全息再现像的分割研究

图像分割是从图像分析到图像处理的关键步骤,因此对该全息再现图的分割具有重要意义。传统的相移数字全息技术记录次数多、记录时的曝光次数较多,因而随机误差大。项目组提出了一种基于参考光估计的两步相移数字全息术,只需记录两幅相移全息图就可实现原物光波的重建。选取了水平集算法进行分割处理,鉴于水平集算法特点,为了提高分割精确度和效率,提出了一种粗分割与细分割相结合的方法。实验证明,该方法对于两步相移全息再现图的分割具有较好效果。

Segmentation of two-step-only phase-shifting digital holographic restored image

Image segmentation is a key step from image analysis to image processing,and has a significance in segmenta-tion of the holographic restored image. The most serious issue in traditional phase-shifting digital holography is the record re-quired for many times,which would result in great ramdon error. In this paper,the two-step-only phase-shifting digital hologra-phy based on the reference beam estimation is proposed. This method needs to record two quadratur-phase holograms for recon-struction only. The level set algorithm is selected for segmentation of holographic images. In consideration of the characteristics of the level set algorithm,a method of combining the rough segmentation including intensity transformations with the fine seg-mentation is presented. The experimental results proves that the method has better segmentation result for the two-step-only phase-shifting holographic restored images.