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Geographic Image Classification Considering on Texture Features by GLCM

Sundos Abdul_ameer, Muna Jaffer, Israa Muhamad. Published in Image Processing.

Communications on Applied Electronics
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Sundos Abdul_ameer, Muna Jaffer, Israa Muhamad
10.5120/cae2016652298

Sundos Abdul_ameer, Muna Jaffer and Israa Muhamad. Geographic Image Classification Considering on Texture Features by GLCM. Communications on Applied Electronics 5(5):16-19, July 2016. BibTeX

@article{10.5120/cae2016652298,
	author = {Sundos Abdul_ameer and Muna Jaffer and Israa Muhamad},
	title = {Geographic Image Classification Considering on Texture Features by GLCM},
	journal = {Communications on Applied Electronics},
	issue_date = {July 2016},
	volume = {5},
	number = {5},
	month = {Jul},
	year = {2016},
	issn = {2394-4714},
	pages = {16-19},
	numpages = {4},
	url = {http://www.caeaccess.org/archives/volume5/number5/617-2016652298},
	doi = {10.5120/cae2016652298},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

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.

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Keywords

Image Classification, geographical image, and GLCM.