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Communication Dans Un Congrès Année : 2012

A New Histogram-based Descriptor for Images Retrieval from databases

Résumé

In this paper, we propose a new approach for designing histogram-based descriptors. For demonstration purpose, we generate a descriptor based on the histogram of differential-turning angle scale space (d-TASS) function and its derived data. We then compare the proposed histogram-based descriptor with the traditional histogram descriptors in terms of retrieval performance from image databases. Experiments on three shapes databases demonstrate the efficiency and the effectiveness of the new technique: the proposed technique of histogram-based descriptor outperforms the traditional one. These experiments showed also that the proposed histogram-based descriptor using d-TASS function and the derived features performs well compared with the state-of-the-art. When applied to texture images retrieval, the proposed approach yields higher performance than the traditional histogram-based descriptors. From these results, we believe that the proposed histogram-based descriptor should perform efficiently for medical images retrieval so we will focus on this aspect in the future work.
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Dates et versions

hal-00728214 , version 1 (05-09-2012)

Identifiants

  • HAL Id : hal-00728214 , version 1

Citer

Kidiyo Kpalma, Cong Bai, Miloud Chikr El-Mezouar, Kamel Belloulata, Nasreddine Taleb, et al.. A New Histogram-based Descriptor for Images Retrieval from databases. International Workshop on Next Generation Intelligent Medical Decision Support Systems (MedDecSup 2012), Jul 2012, Sofia, Bulgaria. ⟨hal-00728214⟩
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