Author(s)

Xiaofang Shao

Chengdu Neusoft University, Chengdu, China.

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

Orientation Estimation, Tensor, Principle Component Analysis

Shao, X.F. (2022) Using Lognormal_PCA for Orientation Estimation. Open Access Library Journal, 9, 1-8. doi: 10.4236/oalib.1108753.