International Journal of Scientific and Research Publications

IJSRP, Volume 3, Issue 5, May 2013 Edition [ISSN 2250-3153]


Image Texture Feature Extraction Using GLCM Approach
      P. Mohanaiah, P. Sathyanarayana, L. GuruKumar
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. The Four features namely, Angular Second Moment, Correlation, Inverse Difference Moment, and Entropy are computed using Xilinx FPGA. The results show that these texture features have high discrimination accuracy, requires less computation time and hence efficiently used for real time Pattern recognition applications.

Reference this Research Paper (copy & paste below code):

P. Mohanaiah, P. Sathyanarayana, L. GuruKumar (2018); Image Texture Feature Extraction Using GLCM Approach; Int J Sci Res Publ 3(5) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-0513.php?rp=P171166
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