A computation framework for orientation tensor estimation

被引：0
|
作者：
Shao X.-F. [1 ]
Li S.-H. [1 ]
机构：
[1] Qingdao Branch of Naval Aeronautical Engineering Institute, Qingdao
来源：
Jisuanji Xuebao/Chinese Journal of Computers | 2011年 / 34卷 / 09期
关键词：
Orientation; Orientation estimation; Orientation tensors;
D O I：
10.3724/SP.J.1016.2011.01726
中图分类号：
学科分类号：
摘要：
Orientation estimation aims to compute the orientation angles of multi-dimensional signals and can be applied to many basic tasks in image processing and computer vision. This paper gives a short review of three methods for estimating local orientation tensors. The signal models being used are rather different, but they produce similar result which motivates the existence of a common computation framework for estimating orientation tensors. Such a framework is proposed and proved by investigating the key problem of how to construct the orientation tensors to facilitate further research work and design more accurate orientation estimation methods.
引用
收藏
页码：1726 / 1731
页数：5
相关论文
共 11 条
  • [1] Hagen S., Gradient channel matrices for orientation estimation, (2003)
  • [2] Rudolf M., Orientation estimation: Conventional techniques and a new non-differential approach, Proceedings of the 10th European Signal Processing Conference, 2, pp. 921-924, (2000)
  • [3] Zhou X., Baird J.P., Arnold J.F., Fringe-orientation estimation by use of a gaussian gradient filter and neighboring-direction averaging, Applied Optics, 38, 5, pp. 795-804, (1999)
  • [4] Ratha N.K., Chen S.Y., Jain A.K., Adaptive flow orientation based feature extraction in fingerprint images, Pattern Recognition, 28, 11, pp. 1657-1672, (1995)
  • [5] Davide M., Datio M., Handbook of Fingerprint Recognition, (2003)
  • [6] Zhou J., Gu J., A model-based method for the computation of fingerprints' orientation field, IEEE Transactions on Image Processing, 13, 6, pp. 821-835, (2004)
  • [7] Spatial domain methods for orientation and velocity estimation, (1999)
  • [8] Granlund G.H., Knutsson H., Signal Processing for Computer Vision, (1995)
  • [9] Wilson R., Bhalerao A.H., Kernel designs for efficient multi-resolution edge detection and orientation estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 14, 3, pp. 384-389, (1992)
  • [10] Klimanee C., Nguyen D.T., On the design of 2-D Gabor filtering of fingerprint images, Proceedings of the 1st IEEE Consumer Communications and Networking Conference, pp. 430-435, (2004)
12