@inproceedings{906781d8355545f99c94594a591e08de,
title = "A symbolic dynamics based approach to pattern recognition in image sequences",
abstract = "This paper presents the application of symbolic dynamic analysis to two-dimensional images for the purpose of pattern recognition in temporal image sequences. A specific example of flaw detection in polycrystalline alloys via image sequences obtained from a camera mounted on a microscope is considered. An anomaly measure which indicates the severity of a crack with a quantifiable numerical value was derived using the D-Markov machine. Use of a region-of-interest based analysis of the statistical properties of pixels makes the pre-processing step of image registration redundant. The problem due to the presence of relative motion between successive frames of an image sequence does not significantly affect the detection of a fatigue crack when symbolic dynamics is used. A comparison of the performance of the algorithm in the presence and absence of registration of images is shown.",
author = "Aparna Subbu and Keller, {Eric E.} and Asok Ray",
year = "2007",
language = "English (US)",
isbn = "9781601320438",
series = "Proceedings of the 2007 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2007",
pages = "383--389",
booktitle = "Proceedings of the 2007 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2007",
note = "2007 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2007 ; Conference date: 25-06-2007 Through 28-06-2007",
}