Work place: Department of Electronics, Djillali Liabes University, Sidi Bel-Abbes, Algeria
Research Interests: Information Retrieval, Image Processing, Image Manipulation, Image Compression, Pattern Recognition
Lakhdar BELHALLOUCHE, was born in Algeria 1981. He received his master degree in image processing and vision from Djillali Liabbes University, Algeria in 2008. Currently, he prepares his Ph.D in electronics in Djillali Liabbes University. His major fields of interest are Image Retrieval, Digital image Processing and Pattern Recognition.
DOI: https://doi.org/10.5815/ijigsp.2016.01.01, Pub. Date: 8 Jan. 2016
In this paper, we present an efficient region-based image retrieval method, which uses multi-features color, texture and edge descriptors. In contrast to recent image retrieval methods, which use discrete wavelet transform (DWT), we propose using shape adaptive discrete wavelet transform (SA-DWT). The advantage of this method is that the number of coefficients after transformation is identical to the number of pixels in the original region. Since image data is often stored in compressed formats: JPEG 2000, MPEG 4…; constructing image histograms directly in the compressed domain, allows accelerating the retrieval operation time, and reducing computing complexities. Moreover, SA-DWT represents the best way to exploit the coefficients characteristics, and properties such as the correlation. Characterizing image regions without any conversion or modification is first addressed. Using edge descriptor to complement image region characterizing is then introduced. Experimental results show that the proposed method outperforms content based image retrieval methods and recent region based image retrieval methods.[...] Read more.
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