Shape matching by curve modelling and alignment

Authors:
Cecilia Di Ruberto;Marco Gaviano;Andrea Morgera
Affiliations:
University of Cagliari, Dept. of Math. and Comp. Sc., Cagliari, Italy;University of Cagliari, Dept. of Math. and Computer Science, Cagliari, Italy;University of Cagliari, Dept. of Math. and Comp. Sc., Cagliari, Italy
Venue:
WSEAS Transactions on Information Science and Applications
Year:
2009

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Abstract

Automatic information retrieval in the field of shape recognition has been widely covered by many research fields. Various techniques have been developed using different approaches such as intensity-based, model-based and shape-based methods. Whichever is the way to represent the objects in images, a recognition method should be robust in the presence of scale change, translation and rotation. In this paper we present a new recognition method based on a curve alignment technique, for planar image contours. The method consists of various phases including extracting outlines of images, detecting significant points and aligning curves. The dominant points can be manually or automatically detected. The matching phase uses the idea of calculating the overlapping indices between shapes as similarity measures. To evaluate the effectiveness of the algorithm, two databases of 216 and 99 images have been used. A performance analysis and comparison is provided by precision-recall curves.