This paper gives a method applying wavelet transformation to get the blocklines , and construct a binary control mask to supervise the phase unwrapping , and phase interpolation procedure 在這種算法中,利用小波變換尋找截斷線,有效地標記出極點和截斷線,構造出二元模板指導位相展開。
With the ability of binary control mask to deal with under - sampling areas successfully , and with the ability of modulation ordering resulting in an optimized path , the new algorithm can be applied to complex phase unwrapping 新算法對于采樣不足的區域有著很好的處理效果,并且保留了調制度函數本身處理局部陰影等截斷位相不可靠區域的能力。
According to the relationship between the local modulus maxima of wavelet coefficients and the local singularity , and the multiresolution analysis of wavelet transformation , the blocklines is flagged . then using the method of binary image processing and mathematical morphology to get the complete blocklines , and to construct the binary control mask . the control mask identifies valid and invalid discrete phase distribution , and remains the errors of phase unwrapping within the local confines successfully 針對直接標記截斷線的困難,利用小波變換系數的模極大值與局部奇異性的關系,通過檢測多尺度小波變換系數模極大值的位置來標記截斷線的基本走向,進而采用二值數學形態學處理方法形成完整的截斷線,構成標記出極點與截斷線等易產生錯誤的區域的二元模板來,將位相展開的錯誤限制在局部范圍。