Snake in Phase Domain: A Method for Boundary Detection of Objects in Phase Images
A.B. Suksmono, A. Handayani, A. Hirose · The 2006 IEEE International Joint Conference on Neural Network Proceedings · 2006
This paper presents a snake algorithm for boundary detection of objects in phase images. Since phase image is a modulo-2pi field, the proper gradient vector field (GVF) for snake dynamics should be taken from an unwrapped phase. This paper proposes a procedure to avoid such unwrapping by applying modulo-2pi gradient estimation. Performance assessment is conducted by comparing a boundary detection result of non-modulo-2pi GVF snake estimate with a modulo-2pi regularized GVF snake. It is shown that the proposed method converges to the expected boundary, while the non-regularized procedure does not.