Object Image Retrieval in Deformable Shapes Using Morphological Operations Based on Dominant Color Regions

In this paper we introduce a novel and simple schemes to develop an optimal choice of morphological Operating Center (OC) for object image retrieval. A variation of the standard morphological operators which require the choice of an OC is discussed. The proposed method is based on combinations of statistical and dynamic programming techniques in which recursive equations on the basis of dilation by using the principle of optimality and minimizing unnecessary background area of the objects are applied. We also present the application of mathematical morphology with Structuring Elements (SEs) which are elongated in the angular direction. The experimental results show that the optimal choice of OC provides satisfying retrieval results.

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An Optimal Choice of Morphological Operating Center for Object Image Retrieval

Hama

Zin

Tin

2009

2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)

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Dominant Color Embedded Markov Chain Model for Object Image Retrieval

Zin

Tin

Takenaka

et al. 2009

2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing

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Object Image Retrieval in Deformable Shapes Using Morphological Operations Based on Dominant Color Regions

Cited by 2 publications

References 15 publications

An Optimal Choice of Morphological Operating Center for Object Image Retrieval

An Optimal Choice of Morphological Operating Center for Object Image Retrieval

Dominant Color Embedded Markov Chain Model for Object Image Retrieval

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