Volume & Issue no: Volume 4, Issue 3, May - June 2015
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Title: |
Propose A Simple and Practical Vehicle Logo Detection and Extraction Framework |
Author Name: |
Mustafa s. Kadhm , Lim Shu Yun |
Abstract: |
Abstract
There are several algorithms and techniques that might help
in recognizing vehicle logo, but the need for simple
framework especially in terms of processing power
(computationally) and memory consumption as well as the
flexibility to such framework to be attached to an existed
system is crucial. In this paper a framework for Vehicle
Brand Logo Detection and Extraction based on OpenCV
library has been proposed. The proposed framework can be
used as complete tool for Vehicle Brand Logo Detection, or as
part for image noise removal since noise removal is an
important initial step for most computer vision applications.
After the framework has been implemented and tested, it
gives a good result for image matching and feature extraction
with the focus on Vehicle Logo Detection and Extraction
process.
Keywords: OpenCV, Framework, Pattern Recognition,
Logo Detection. |
Cite this article: |
Mustafa s. Kadhm , Lim Shu Yun , "
Propose A Simple and Practical Vehicle Logo Detection and Extraction Framework" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 4, Issue 3, May - June 2015 , pp.
087-090 , ISSN 2278-6856.
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