Transcription of Image Texture Feature Extraction Using GLCM Approach
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Image Texture Feature Extraction Using GLCM Approach
International Journal of Scientific and Research Publications, Volume 3, Issue 5, May 2013 1 ISSN 2250-3153 Image Texture Feature Extraction Using GLCM Approach P. Mohanaiah*, P. Sathyanarayana**, L. GuruKumar** * Professor, Dept. of , , Vidyanagar, Nellore, India ** Professor, Dept. of , University Tirupati, India ** , Dept. of , , Vidyanagar, Nellore, India Abstract- Feature Extraction is a method of capturing visual content of images for indexing & retrieval. Primitive or low level Image features can be either general features, such as Extraction of color, Texture and shape or domain specific features. This paper presents an application of gray level co-occurrence matrix (GLCM) to extract second order statistical Texture features for motion estimation of images.
Analysis with a large number of variables generally requires a large amount of memory and computation power or a classification algorithm which over fits the training sample and generalizes poorly to new samples. Feature extraction is a general term for methods of constructing combinations of …
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