A Method for Orientation Estimation

Local orientation is a feature of multi-dimensional signals. Orientation estimation play an important role in many image processing and computer vision tasks. This paper presents a method for orientation estimation, which is based on combination of two already well known technique signal filtering in Fourier domain with principle component analysis. As experimental results show, this method enjoy excellent precision and robustness. Both simulated and real image examples are presented to demonstrate the proposed method.