Publication - Green Image Segmentation Analysis of Google Earth Image to Rank World Class Universities using PhP and Matlab

Authors	Riri Fitri Sari, Muhammad Sulaiman, Muhamad Nur Fajar
Publication Name	Proceedings of IEEE TENCON 2011, Bali
Abstract	University ranking system is a sorting method to grade universities in the world based on predetermined parameters. Percentage of the green a`rea in each university that is captured by satellite can be used as a parameter world university ranking. In this final project, the rangking system is implementation based on web server and the green images segmentation process in this work use HSV thresholding. Analysis done for the result of segmentation process and the execution time. University satellite images are taken from Google Earth and 75% of them are captured from 2009 and 2010. The result show that HSV thresholding method splits green 21% better than global threshold method and 59% better than local threshold method. Web processing takes 19.5% longer than the processing that is done without web interface. This study also shows that the size of image file not affect the execution time.
Publisher	Proceedings of IEEE TENCON 2011
ISSN	ISBN: 978-1-4577-0254-9
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Impact Factor (JCR)	---
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Website	http://ieeexplore.ieee.org/document/6129296/

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