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Quadtree Decomposition Combined with Edge Detection Enhancement and Cross-Correlation for Object Recognition and Retrieval

Jehad Qubiel Odeh Alnihoud, (2007) Quadtree Decomposition Combined with Edge Detection Enhancement and Cross-Correlation for Object Recognition and Retrieval. In: Research Excellence and Knowledge Enrichment in ICT: Proceeding of the 2nd International Conference on Informatics, 27th - 28th November 2007, Petaling Jaya, Selangor, Malaysia.

Full text not available from this repository.

Affiliations

Al al-Bayt University, Computer Science Dept.
Prince Hussein bin Abdullah Information Technology College

Abstract

The proposed approach in this paper is region based segmentation technique based on Quadtree decomposition and edge detection. The technique allows an efficient recognition and segmentation of objects in images. Edge detection enhancement method is proposed to overcome some of the most prominent problem associated with this technique. Edges were detected, enhanced, and regions were segmented. Furthermore, cross-correlation between images is proposed as a method to measure the similarity which means that the proposed technique may be useful to be used in CBIR (content-based image retrieval).

Item Type:Conference or Workshop Item (Paper)
Keywords:Quadtree decomposition, Sobel, segmentation, and cross correlation coefficient.
Subjects:Q Science
T Technology
ID Code:1528

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