1 January 1995 Comparative performance evaluation of various fringe thinning algorithms in photomechanics
Author Affiliations +
In recent years several algorithms have been reported for automating fringe data collection in photomechanics using the technique of digital image processing (DIP). Recent advances in phase shifting interferometry have offered some hope for full automation of static problems. However, for real-time dynamic studies conventional recording of fringes is a must. Fringe thinning is a very crucial step in extracting data for further processing. The various DIP algorithms for fringe thinning are surveyed and an attempt is made to explain better the mechanism of fringe skeleton extraction by various algorithms. The algorithm of Ramesh and Pramod is improved to extract fringe skeletons from saddle points in the fringe field. A cornparative performance evaluation of these algorithms is discussed with respect to the quality and accuracy of fringe skeleton extracted and the processing time. Performance evaluation is done on a few computer-generated. test images and also on images recorded by the technique of photoelasticity. The improved version of the algorithm of Ramesh and Pramod is found to give better fringe skeletons; it is also the fastest and the processing time is an order of magnitude less than the other algorithms. It is proposed that these computergenerated test images could be used as standard test images for checking the performance of any new fringe thinning algorithm.
Krishnamurthi Ramesh, Krishnamurthi Ramesh, Rajeev Kumar Singh, Rajeev Kumar Singh, "Comparative performance evaluation of various fringe thinning algorithms in photomechanics," Journal of Electronic Imaging 4(1), (1 January 1995). https://doi.org/10.1117/12.191333 . Submission:


A Scheme For The Analysis Of Infinite Fringe Systems
Proceedings of SPIE (November 19 1989)
Image Processing By Pixel Recursion Method
Proceedings of SPIE (January 29 1990)
Directional smoothing for interferogram reduction
Proceedings of SPIE (December 01 1993)
Phase unwrapping through least-squares approximation
Proceedings of SPIE (May 18 1992)
Blurriness estimation in video frames a study on smooth...
Proceedings of SPIE (February 08 2010)

Back to Top