Now showing items 21-30 of 893
Texture descriptor based on partially self-avoiding deterministic walker on networks
(PERGAMON-ELSEVIER SCIENCE LTDOXFORD, 2012-11-01)
Texture image analysis is an important field of investigation that has attracted the attention from computer vision community in the last decades. In this paper, a novel approach for texture image analysis is proposed by ...
Texture analysis and classification using deterministic tourist walk
(ELSEVIER SCI LTD, 2010)
In this paper, we present a study on a deterministic partially self-avoiding walk (tourist walk), which provides a novel method for texture feature extraction. The method is able to explore an image on all scales simultaneously. ...
Medical image retrieval based on complexity analysis
Texture is one of the most important visual attributes used in image analysis. It is used in many content-based image retrieval systems, where it allows the identification of a larger number of images from distinct origins. ...
Discriminating image textures with the multiscale two-dimensional complexity-entropy causality plane
(Pergamon-Elsevier Science Ltd, 2016-10)
The aim of this paper is to further explore the usefulness of the two-dimensional complexity-entropy causality plane as a texture image descriptor. A multiscale generalization is introduced in order to distinguish between ...
Characterization of texture in image of skin lesions by support vector machine
Due to the increased incidence of skin cancer, computational methods based on intelligent approaches have been developed to aid dermatologists in the diagnosis of skin lesions. This paper proposes a method to classify ...
Texture analysis using volume-radius fractal dimension
Texture plays an important role in computer vision. It is one of the most important visual attributes used in image analysis, once it provides information about pixel organization at different regions of the image. This ...