Hybrid method to obtain interest region and non interest region for color based image retrieval

Abd Rasid, Mamat and Norkhairani, Abdul Rawi and Mohd Fadzil, Abdul Kadir (2015) Hybrid method to obtain interest region and non interest region for color based image retrieval. International Journal of Advances in Soft Computing and its Applications, 7 (3). pp. 16-30. ISSN 20748523

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Content based image retrieval (CBIR) has become one of the most active research areas in the past few years. Many indexing techniques are based on global feature distributions. However, these global distributions have limited discriminating power because they are unable to capture local image information. In this paper, the new proposed method based on local image to classify the Interest Region (IR) and Non Interest Region (NIR) of images. To develop this, the integration of clustering and user intervention was applied. Clustering process is obtaining several regions, meanwhile to ascertain the location of the center of images through user intervention. Several experiments are conducted using different weight (ω, γ) of IR and NIR. Subsequently average color moment is extracted from this region (IR and NIR) in CIE Lab color model. To investigate the performance, new distance is proposed based on Euclidean distance. Experimental results show the proposed method more efficient in image retrieval.

Item Type: Article
Uncontrolled Keywords: Interest Region, Non Interest Region, Intervention, Clustering, CBIR
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Informatics & Computing
Depositing User: Syahmi Manaf
Date Deposited: 13 Sep 2022 05:06
Last Modified: 13 Sep 2022 05:06
URI: http://eprints.unisza.edu.my/id/eprint/6887

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