Title
Image Retrieval System Based on Density Slicing of Colour Histogram of Images Subareas and Colour Pair Segmentation
Abstract
Techniques to identify objects within an image and searching for similar objects in the database is not claiming a lot of progress, due to the limitations of the capabilities of the existing techniques and algorithms in image processing and computer vision to perform such task. In this paper, a new technique based on slicing the images to equally sub-areas, then applying the density slicing to the colour histogram of these areas combined with the colour pair technique is presented. We tried to overcome problems related to the original colour pair segmentation, as well as overcome problems related to the computational complexity in histogram localization through proposing density slicing or multiple thresholds. In this paper, new techniques proposed, new ranking formula, and a complete framework with the interface consideration.
Year
Venue
Keywords
2004
Int. Arab J. Inf. Technol.
density slicing.,city block,colour pair segmentation,content-based image retrieval,computational complexity,computer vision,image retrieval
Field
DocType
Volume
Histogram,Computer science,Image retrieval,Image processing,Artificial intelligence,Image histogram,Computer vision,Ranking,Pattern recognition,Segmentation,Slicing,Machine learning,Computational complexity theory
Journal
1
Issue
Citations 
PageRank 
2
1
0.36
References 
Authors
7
4
Name
Order
Citations
PageRank
Jehad Qubiel Odeh110.36
Fatimah Ahmad2366.23
Mohamed Othman338371.95
Rozita Johari451.55