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Texture retrieval using co-occurrence matrix and symbolic interval data under scale and rotation invariance

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3 Author(s)
de Almeida, C.W.D. ; Informatic Center (CIn), Fed. Univ. of Pernambuco, Recife, Brazil ; de Souza, R.M.C.R. ; Candeias, A.L.B.

This article presents a new method for texture description suitable to be used as a solution to the retrieval problem in large image collections. The proposed approach combines multiscalegray-level co-occurrence matrices (GLCM) with Symbolic Data Analysis. A benchmark data set is used to demonstrate the usefulness of the proposed methodology. The experimental results demonstrate that the proposed method is encouraging with an average successful rate of 100% for Dataset 1 and 97.9% for Dataset 2.

Published in:

Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on

Date of Conference:

14-17 Oct. 2012