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Random walks based segmentation approach for image retrieval

Hassan Tabout 1 Youssef Chahir 2 Abdelmoghit Souissi 1 Abderrahman Sbihi 3
2 Equipe Image - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
Abstract : In this paper a region-based image indexing and retrieval (RBIR) algorithm is presented. As a basis for the indexing, a novel spectral segmentation approach using random walks on graphs is introduced. Based on the extracted regions, characteristic features are estimated using color and texture information. The focus of this study is to improve the capture of regions so as to enhance indexing and retrieval performance. An implemented prototype system has demonstrated a promising retrieval performance for a test database containing more than 1000 color algae images.
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https://hal.archives-ouvertes.fr/hal-00823536
Contributor : Yvain Queau <>
Submitted on : Friday, May 17, 2013 - 11:41:22 AM
Last modification on : Wednesday, November 13, 2019 - 3:42:05 PM

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Hassan Tabout, Youssef Chahir, Abdelmoghit Souissi, Abderrahman Sbihi. Random walks based segmentation approach for image retrieval. IEEE International Conference on Pervasive Computing and Applications - ICPCA2008, 2008, Alexandria, Egypt. pp.593 - 597, ⟨10.1109/ICPCA.2008.4783681⟩. ⟨hal-00823536⟩

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