Title :
Automatic edge detection in noisy fringe patterns
Author :
Ratnam, Mani Maran
Author_Institution :
Sch. of Ind. Technol., Universiti Sains Malaysia, Penang, Malaysia
Abstract :
Fringe patterns are usually analyzed using a predefined window due to the difficulty associated with finding their edges. This is because the fringes usually have minimum intensities similar to that of the background and therefore it is difficult to determine where a fringe starts and ends. This paper presents an automatic technique for detecting the edges of a noisy fringe pattern with various noise levels. The technique uses classical morphological operators and a simple binary edge detector. The relationship between background noise and threshold for the binarization was determined from simulated fringe patterns
Keywords :
edge detection; image processing; interferometry; mathematical morphology; random noise; automatic edge detection; background noise; binary edge detector; classical morphological operators; image processing; interferograms; noisy fringe patterns; Background noise; Detectors; High speed optical techniques; Holographic optical components; Image edge detection; Noise level; Optical interferometry; Optical noise; Shape measurement; Strain measurement;
Conference_Titel :
Signal Processing and its Applications, Sixth International, Symposium on. 2001
Conference_Location :
Kuala Lumpur
Print_ISBN :
0-7803-6703-0
DOI :
10.1109/ISSPA.2001.949795