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.
[7] H. Hikawa, Implementation of Simplified Multilayer Neural Network with On-chip Learning, Proc. of theIEEE International Conference on Neural Networks(Part 4), Vol. 4, 1999, pp 1633-1637. [8] T. Nakano, T. Morie, and A. Iwata, A Face/Object Recognition System Using FPGA Implementation of Coarse Region Segmentation, SICE
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