论文信息 - An algorithm for estimating both fringe orientation and fringe density

An algorithm for estimating both fringe orientation and fringe density

In this paper, an algorithm is proposed which can estimate good fringe orientation and estimate fringe density at the same time. This algorithm accumulates differences along four orientations and then obtains the local orientation and estimates local fringe density according to the differences. The obtained orientation results are more accurate and more robust than the plane-fit method. And it will be shown both theoretically and experimentally that the accumulated differences can estimate fringe density roughly.

[1] Pedro R. Vizcaya,et al. A nonlinear orientation model for global description of fingerprints , 1996, Pattern Recognit..

[2] Pietro Perona. Orientation diffusions , 1998, IEEE Trans. Image Process..

[3] Qifeng Yu,et al. Two improved algorithms with which to obtain contoured windows for fringe patterns generated by electronic speckle-pattern interferometry. , 2005, Applied optics.

[4] Cho Jui Tay,et al. Fringe-density estimation by continuous wavelet transform. , 2005, Applied optics.

[5] K Andresen,et al. New spin filters for interferometric fringe patterns and grating patterns. , 1994, Applied optics.

[6] Qifeng Yu,et al. Removing speckle noise and extracting the skeletons from a single speckle fringe pattern by spin filtering with curved-surface windows , 2003 .

[7] Qifeng Yu,et al. Single-phase-step method with contoured correlation fringe patterns for ESPI. , 2004, Optics express.

[8] Qifeng Yu,et al. Spin filtering with curve windows for interferometric fringe patterns. , 2002, Applied optics.

[9] Qifeng Yu,et al. Extraction of phase field from a single contoured correlation fringe pattern of ESPI. , 2004, Optics express.

[10] O Marklund. Robust fringe density and direction estimation in noisy phase maps. , 2001, Journal of the Optical Society of America. A, Optics, image science, and vision.