An Algorithm for Detecting the Discontinuous Areas in Interferometric Phase Images

Abstract

Interferometric measurements have been widely used in medical diagnosing and geographic mapping. The detection of discontinuous areas in interferometric phase images is very significant for subsequent processing (such as denoising, unwrapping, and so on). In this paper, the Wrapped Laplace Transform is proposed to adapt the edge detection methods to the characteristics of the interferometric phase image. Thresholding is committed to the transformation results to generate the preliminary detection results of the discontinuous area. Then the detected discontinuous areas are restored by dilation and erosion. The experimental results show that the proposed algorithm in this paper can effectively detect discontinuous areas in the interference phase image, while avoiding the effects of interference fringes.