Communication Dans Un Congrès Année : 2012

Extraction of light and specific features for historical image indexing and matching

Résumé

This paper proposes a new feature extraction technique for indexing and matching historical images. The complexity of these historical images troubles the existing indexing approaches due to their line patterns. Our indexing method relies on the global segmentation integrated with the knowledge of edge density to deal with the line patterns and eliminate over-segmented regions. Then the historical images are represented by a set of ROI descriptors and the retrieval is performed by matching sorted features. Experiments and system evaluations with and without ground truth are presented and discussed.

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Dates et versions

hal-00715891 , version 1 (09-07-2012)

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  • HAL Id : hal-00715891 , version 1

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Mickaël Coustaty, Surapong Uttama, Jean-Marc Ogier. Extraction of light and specific features for historical image indexing and matching. ICPR 2012, Nov 2012, Tsukuba, Japan. ⟨hal-00715891⟩

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