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。 The unwrapping accuracy of the weighted phase unwrapping algorithm depends on the reliability of the extracted quality map. At present, most of the methods for extracting phase-quality maps are fixed-window methods with each pixel as their center. However, when some pixels are seriously disturbed by noise, the fixed-window method is often not used to extract the quality maps. Therefore, several adaptive weighted window methods are proposed to extract the phase quality map, and the specific implementation methods and steps are given. At the same time, the phase unwrapping algorithm is adopted by the weighted wavelet transform phase unwrapping algorithm. Experimental results show that using the adaptive weighted window method to extract the phase quality map to determine the initial weight coefficient can get better unwrapping effect.