Matching noisy outline contours using a descriptor reduction approach

Authors:
Saliha Aouat;Slimane Larabi
Affiliations:
LRIA Laboratory, Computer Science Department, USTHB University, Algiers, Algeria;LRIA Laboratory, Computer Science Department, USTHB University, Algiers, Algeria
Venue:
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
Year:
2012

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Abstract

Shape Matching is an important area in computer vision researches. We propose in this paper a method to match two outline shapes. Assuming that shapes are stored in the database using their textual descriptors, an iterative process is used to reduce descriptors. After the reduction process, the textual descriptors can be compared in order to perform the matching process. The Textual smoothing is done by applying transformations and reductions of the textual descriptors of shapes to be matched.