QUADTREE DECOMPOSITION COMBINED WITH EDGE DETECTION ENHANCEMENT AND CROSS-CORRELATION FOR OBJECT RECOGNITION AND RETRIEVAL

Alnihoud, Jehad Qubiel Odeh (2007) QUADTREE DECOMPOSITION COMBINED WITH EDGE DETECTION ENHANCEMENT AND CROSS-CORRELATION FOR OBJECT RECOGNITION AND RETRIEVAL. In: 2nd International Conference on Informatics (Informatics 2007), Hilton Petaling Jaya Hotel, Petaling Jaya, Selangor, Malaysia.

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Official URL: http://dspace.fsktm.um.edu.my/handle/1812/399

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)
Subjects: Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: MS SITI NUR ATIKAH MOHAMAD RUSDI
Date Deposited: 15 Jul 2013 07:24
Last Modified: 15 Jul 2013 07:24
URI: http://repository.um.edu.my/id/eprint/310

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