Abstract:
Different approach to texture characterization can be considered. In this work texture are analyzed through second order statistical measurements based on the Grey-Level ...Show MoreMetadata
Abstract:
Different approach to texture characterization can be considered. In this work texture are analyzed through second order statistical measurements based on the Grey-Level Co-occurrence Matrix proposed by Haralick [1]. By this method is possible to compute 22 different features to describe texture. Usually, in previous works, only 5 features are considered among the complete set, but no reasons are exposed for that selection. In this work, using Principal Component Analysis, the set of features is studied and 5 features, different from former, are proposed as the most convenient describing and characterizing the considered textures. Finally, the relationship between the proposed features and perception of texture is analyzed.
Published in: 2013 Colour and Visual Computing Symposium (CVCS)
Date of Conference: 05-06 September 2013
Date Added to IEEE Xplore: 10 October 2013
Electronic ISBN:978-1-4799-0609-3