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UKSim 2009: 11th International Conference on Computer Modelling and Simulation
Feature Vector Extraction System Based on Adaptive Segmentation of HSV Information Space
March 25-March 27
ISBN: 978-0-7695-3593-7
ASCII Text
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Muhammad Riaz, An Youngeun, Park Jongan, "Feature Vector Extraction System Based on Adaptive Segmentation of HSV Information Space," Computer Modeling and Simulation, International Conference on, pp. 239-244, UKSim 2009: 11th International Conference on Computer Modelling and Simulation, 2009.
 
 
BibTex
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@article{ 10.1109/UKSIM.2009.39,
author = {Muhammad Riaz and An Youngeun and Park Jongan},
title = {Feature Vector Extraction System Based on Adaptive Segmentation of HSV Information Space},
journal ={Computer Modeling and Simulation, International Conference on},
volume = {0},
year = {2009},
isbn = {978-0-7695-3593-7},
pages = {239-244},
doi = {http://doi.ieeecomputersociety.org/10.1109/UKSIM.2009.39},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Modeling and Simulation, International Conference on
TI - Feature Vector Extraction System Based on Adaptive Segmentation of HSV Information Space
SN - 978-0-7695-3593-7
SP239
EP244
A1 - Muhammad Riaz,
A1 - An Youngeun,
A1 - Park Jongan,
PY - 2009
KW - Segmentation
KW - Feature Extraction
KW - HSV Color Space
KW - Image Retrieval
VL - 0
JA - Computer Modeling and Simulation, International Conference on
ER -
 
Color is a rich and complex experience, usually caused by the vision system responding differently to different wavelengths of light (other causes include pressure on the eyeball and dreams). Color of object can play an important role in recognizing that object from the image. Different kinds of color spaces have been established and studied in the past for image retrieval. In this paper also we have studied Hue, Saturation and Value (HSV) color space. We used a feature extraction technique based on the adaptive segmentation of the image using its color information. By using different ranges of Hue, Saturation and Value, image is first classified into n number of areas, and then each area is partitioned into m number of segments. Our focus is in the domain of photographic images with an essentially unlimited range of topics. We have used a web-based retrieval system for feature extraction and image retrieval.
Index Terms:
Segmentation, Feature Extraction, HSV Color Space, Image Retrieval
Citation:
Muhammad Riaz, An Youngeun, Park Jongan, "Feature Vector Extraction System Based on Adaptive Segmentation of HSV Information Space," uksim, pp.239-244, UKSim 2009: 11th International Conference on Computer Modelling and Simulation, 2009
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