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Geographic Image Classification Considering on Texture Features by GLCM
| Communications on Applied Electronics |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 5 - Number 5 |
| Year of Publication: 2016 |
| Authors: Sundos Abdul_ameer, Muna Jaffer, Israa Muhamad |
10.5120/cae2016652298
|
Sundos Abdul_ameer, Muna Jaffer, Israa Muhamad . Geographic Image Classification Considering on Texture Features by GLCM. Communications on Applied Electronics. 5, 5 ( Jul 2016), 16-19. DOI=10.5120/cae2016652298
Abstract
For image classification, texture features improves the classification of digital image. Geographical Image Classification (GIC) proposed depending on the features of texture information for entry image classifier. Our method to classified geographical image into three classes Water planes, green land, and Desert, the system have two levels, first, extract texture features depending on GLCM values basically, second level is classifier of geographical images entered and identification of its class that Image of geography. Classification system was performed on many digital color images of geography and that have proved good successful.
References
- Umbaugh S.E., ”Computer Vision and Image Processing”, Prentice-Hall, (1998).
- Young I.T., Gerbrands J.J., and . van Vliet L.J,” Image Processing Fundamentals”, Netherlands Organization for Scientific Research (NWO) Grant 900-538-040, (1998).
- Marcal A.R.S,and Mendonca T., "The use of texture for image classification of black & white air-photographs", New Developments and Challenges in Remote Sensing, Z. Bochenek (ed.), Millpress, Rotterdam, ISBN 978-90-5966-053-3, (2007).
- Farouk E. , "Remote Sensing: Generating Knowledge about Groundwater", Special study, (2006).
- Gonzalez R. C. and Woods E. , ”Digital image processing”, Addison-Wesley Publishing Company, (2008).
- Luo X. Y., “Color Image Analysis For Cereal Grain Classification”, University of Manitoba, Canada, Ph.D. thesis, (1997).
- Low B. K., and Hjelmxas E., “Face Detection : A Survey”, Academic Press, computer vision and Image Understanding, 83, pp. 236–274, (2001).
- Jeyanthi1P., and Jawahar V., " Image Classification by K-means Clustering", Advances in Computational Sciences and Technology ISSN 0973-6107 , pp. 1–8,( 2010).
- Alaa eleyan , Hasan dem˙irel” Co-occurrence matrix and its statistical features as anew approach for face recognition”, Vol.19, No.1, 2011.
- P. Mohanaiah, P. Sathyanarayana, L. GuruKumar” Image Texture Feature Extraction Using GLCM Approach” International Journal of Scientific and Research Publications, Volume 3, Issue 5, May 2013 India
- Zvoleff A.," Calculating image textures with GLCM", Data Science at Conservation International, (2014).
- Hogg R. V., and Tanis E. A., "Probability and Statistical Inference", Pearson Education, Inc. Prentice Hall, (2006).
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