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Please use this identifier to cite or link to this item: http://hdl.handle.net/1812/399

Title: QUADTREE DECOMPOSITION COMBINED WITH EDGE DETECTION ENHANCEMENT AND CROSS-CORRELATION FOR OBJECT RECOGNITION AND RETRIEVAL
Authors: Jehad Qubiel Odeh Alnihoud
Keywords: Quadtree decomposition
Sobel
Segmentation
Cross correlation coefficient
Issue Date: 2007
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).
Description: Proceeding of the 2nd International Conference on Informatics (Informatics 2007), 27th-28th November 2007, Hilton Petaling Jaya Hotel, Petaling Jaya, Selangor, Malaysia. Page T5-51 - T1-55
URI: http://dspace.fsktm.um.edu.my/handle/1812/399
ISBN: 978-983-43491-1-0
Appears in Collections:Informatics 2007

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