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Automatic unsupervised shape recognition technique using moment invariants

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1 Author(s)
Tudor Barbu ; Institute of Computer Science of the Romanian Academy, Iasi branch, Romania

We approach the shape recognition domain in this paper. After an introduction in the image shape analysis domain, we describe a shape feature extraction technique using moment-based measures which are invariant to geometric transforms. Then, an automatic unsupervised feature vector classification approach is proposed. It is based on a sequence of hierarchical agglomerative region-growing clustering algorithms and a measure based on cluster validation indexes. The results of this provided recognition technique can be applied successfully in important domains, such as object recognition, shape-based image content indexing and retrieval.

Published in:

System Theory, Control, and Computing (ICSTCC), 2011 15th International Conference on

Date of Conference:

14-16 Oct. 2011