Green image segmentation analysis of Google earth image to rank world universities using PHP and MATLAB

Riri Fitri Sari, Muhammad Sulaiman, Muhamad Nur Fajar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

University ranking systems are some effort to list universities worldwide in to an order based on some predetermined parameters. The percentage of the green area in each university that is captured by satellite can be used as a world university ranking parameter. In this work, green images taken from Google Earth have been processed through a segmentation stage using hsv threshold method. Images from 200 university from various countries on five continents have been analyzed, after segmentation process. University satellite images are taken from Google Earth and 75% of them are captured in 2009 and 2010. The result shows that hsv thresholding method is 21% better than global thresholding method and 59% better than local thresholding method. On execution time analysis, web processing takes 19.5% longer than the processing that is done without web interface.

Original languageEnglish
Title of host publicationTENCON 2011 - 2011 IEEE Region 10 Conference
Subtitle of host publicationTrends and Development in Converging Technology Towards 2020
Pages1170-1174
Number of pages5
DOIs
Publication statusPublished - 1 Dec 2011
Event2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011 - Bali, Indonesia
Duration: 21 Nov 201124 Nov 2011

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON

Conference

Conference2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011
Country/TerritoryIndonesia
CityBali
Period21/11/1124/11/11

Keywords

  • Google Earth
  • Green Campus
  • Image Processing
  • University Ranking

Fingerprint

Dive into the research topics of 'Green image segmentation analysis of Google earth image to rank world universities using PHP and MATLAB'. Together they form a unique fingerprint.

Cite this