基于自适应加权窗口的相位质量图提取

加权相位解缠算法的解缠精度取决于所提取的质量图的可靠性。目前提取相位质量图的方法大多采用以各个像素为中心的固定窗口法,但当某些像素被噪声严重干扰时,采用固定窗口法提取质量图往往得不到正确的解缠结果。因此,提出了几种自适应加权窗口方法来提取相位质量图,并给出了具体的实现方法和步骤,同时采用加权小波变换相位解缠算法进行相位解缠。实验结果表明,采用自适应加权窗口方法提取相位质量图来确定初始权重系数能获得比较好的解缠效果。

Phase quality map extraction based on adaptive weighted window

The unwrapping accuracy of weighted phase unwrapping algorithm depends on the reliability of extracted quality map.Many phase quality map extraction methods use a fixed window around each pixel.When there are noise corrupted pixels,the fixed window methods usually can not yield correct unwrapping results.So the adaptive weighted window methods are proposed for use for phase quality map extraction,and concrete implementation methods and steps are given,and phase unwrapping is realized by using weighted wavelet transform algorithm.The experiment results show that better unwrapping results can be obtained using the extracted phase quality maps which use the adaptive weighted window method to determine initial weight coefficient.