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A Novel Approach for Texture Feature Extraction to Retrieve Texture Images using Gray-Level Co-occurrence Matrix (GLCM)

Vinodha H. N., Mohamed Rafi


Image retrieval plays an important role in many of the areas. Content based image retrieval (CBIR) is used for browsing most similar images from the large database. Texture is an important characteristics used in identifying the region of interest or objects in an image. In this image retrieval method, texture method is used to extract the features and retrieves the similar images based on similarity of the features. In the texture method, gray-level co-occurrence matrix (GLCM) texture method is used to extract the texture features. After extracting, the features are compared with the database images and distance is calculated using the Euclidian distance. Finally, similar images are retrieved according to the user satisfaction. Performance of the system is calculated using the processing time, execution time, precision and recall rate metrics.


Content based image retrieval (CBIR), texture-GLCM, processing time, execution time, recall, precision

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Haralick R.M., Shanmugan K., Dinstein I. Textural features for image classification. IEEE Trans Syst Man Cybern. 1973; SMC-3: 610–621p.

Lidayov´a K. Supervised by: Sikudov´a E. Semantic categorization and retrieval of natural scene images. Proceedings of CESCG 2012: The 16th Central European Seminar on Computer Graphics; 2012.

Sharma N., Rawat P., Singh J. Efficient CBIR using color histogram processing. Signal Image Process. 2011;.2(1): 94–112p.

Janarthanam S., Thiagarasu V., Somasundram K. Proceedings of the National Conference on Image Processing (NCIMP 2010). Allied Publishers Pvt. Ltd.; February 12–13, 2010.

Jisha K.P, Thusnavis Bella Mary I b., Vasuki A. International Conference on Signal Processing, Image Processing and Pattern Recognition [ICSIPRl, 978-1-4673-4862-1/13/$31.00 ©2013 IEEE; 2013.

Sandhu A., Kochhar A. Presented the paper: Content based image retrieval using texture, color and shape for image analysis. Int J Comp. 2012; 3(1) 149–152p.


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