Research Article
Primitive Integration for Content based Image Retrieval
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 113 - Issue 5 |
| Published: March 2015 |
| Authors: Riaz Ahmed Shaikh, Jian-Ping Li, Asif Khan |
10.5120/19822-1659
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Riaz Ahmed Shaikh, Jian-Ping Li, Asif Khan . Primitive Integration for Content based Image Retrieval. International Journal of Computer Applications. 113, 5 (March 2015), 14-17. DOI=10.5120/19822-1659
@article{ 10.5120/19822-1659,
author = { Riaz Ahmed Shaikh,Jian-Ping Li,Asif Khan },
title = { Primitive Integration for Content based Image Retrieval },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 113 },
number = { 5 },
pages = { 14-17 },
doi = { 10.5120/19822-1659 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Riaz Ahmed Shaikh
%A Jian-Ping Li
%A Asif Khan
%T Primitive Integration for Content based Image Retrieval%T
%J International Journal of Computer Applications
%V 113
%N 5
%P 14-17
%R 10.5120/19822-1659
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In visual imaging and processing research area unstructured arbitrary natural scene observation and understanding is a problem. Environmental perception and object recognition is an important part of the image processing. Research approach in image processing needs to proper effective abstraction low level features, so that primitive layer integration with output of preprocess always a simultaneous phenomena for content based CBIR system. Texture, color, and shape always a considerable points for extract but need a proper algorithm and model as per image database complexity increase. Paper work approach based to proposed algorithmic model for efficient and effective retrieval.
References
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