Meneses Jaime, Gharbi Tijani, Humbert Philippe
Grupo de Optica y Tratamiento de Señales, Escuela de Fisica, Universidad Industrial de Santander, A.A. 678 Bucaramanga, Colombia.
Appl Opt. 2005 Mar 1;44(7):1207-15. doi: 10.1364/ao.44.001207.
We present a robust algorithm of phase unwrapping that was designed for use on phase images with high noise content. We proceed with the algorithm by first identifying regions with continuous phase values placed between fringe boundaries in an image and then phase shifting the regions with respect to one another by multiples of 2pi to unwrap the phase. Image pixels are segmented between interfringe and fringe boundary areas by use of a local histogram of a wrapped phase. The algorithm has been used successfully to unwrap phase images generated in a three-dimensional shape measurement for noninvasive quantification of human skin structure in dermatology, cosmetology, and plastic surgery.
我们提出了一种稳健的相位展开算法，该算法设计用于处理高噪声含量的相位图像。我们通过以下步骤执行该算法：首先识别图像中条纹边界之间具有连续相位值的区域，然后将这些区域相对于彼此进行2π倍数的相移以展开相位。通过使用包裹相位的局部直方图，将图像像素在条纹间区域和条纹边界区域之间进行分割。该算法已成功用于展开在三维形状测量中生成的相位图像，以对皮肤病学、美容学和整形手术中的人体皮肤结构进行无创定量分析。
