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 |
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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
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.