Resumen

KURMYSHEV, Evguenii; CUEVAS, Francisco  y  SANCHEZ, Raúl. Noisy Binary Texture Recognition Using the Coordinated Cluster Transform. Comp. y Sist. [online]. 2003, vol.6, n.3, pp.196-203. ISSN 2007-9737.

In this paper a technique using the coordinated cluster representation (CCR) is examined for recognition of binary computer generated and natural texture images corrupted by additive noise. A normalized local property histogram of the CCR is used as a unique feature vector. The ability of the descriptor to capture spatial statistical features of an image is exploited. The evaluation criteria is the recognition performance using a simple minimum distance classifier for recognition purposes. The experimental results indicate that the proposed technique is efficient for recognition of textures deteriorated by high level additive noise. Textures under test run through periodic up to random ones.

Palabras llave : Pattern recognition; binary texture analysis; image representation; coordinated clusters.

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