Based on the work reported in our paper, the objective of this Matlab-based software is to produce a dense orientation field (unit vector field orthogonal to the gradient direction) that defines the local direction of edges and features in an image. This method can be used to produced vector fields from noisy fingerprint images, which can then be used to extract features for matching and retrieval. The method can also be used as a preprocessor for locally adaptive image filtering methods such as bandelets.
References
- XiaoGuang Feng, M.S. Thesis, “Analysis and Approaches to Image Local Orientation Estimation”, Computer Engineering, UC Santa Cruz, March 2002.
- X. Feng, and P. Milanfar, “Multiscale Principal Components Analysis for Image Local Orientation Estimation”, Proceedings of the 36th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, November 2002.
Licensing and IP
This is experimental software. It is provided for noncommercial research purposes only. Use at your own risk. No warranty is implied by this distribution.
Copyright © 2002 by Xiaoguang Feng and Peyman Milanfar. All Rights Reserved.