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Texture analysis and classification: a complex network-based approach
(ElsevierPhiladelphia, 2013-01)
In this paper, we propose a novel texture analysis method using the complex network theory. We investigated how a texture image can be effectively represented, characterized and analyzed in terms of a complex network. The ...
Combining fractal and deterministic walkers for texture analysis and classification
(Elsevier BVAmsterdam, 2013-11)
In this paper,we present a novel texture analysis method based on deterministic partially self-avoiding walks and fractal dimension theory. After finding the attractors of the image (set of pixels) using deterministic ...
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. ...
Dynamic texture analysis and segmentation using deterministic partially self-avoiding walks
(ElsevierAmsterdam, 2013-09)
Dynamic texture is a recent field of investigation that has received growing attention from computer vision community in the last years. These patterns are moving texture in which the concept of selfsimilarity for static ...
Fractal descriptors based on the probability dimension: a texture analysis and classification approach
(Elsevier BVAmsterdam, 2014-06)
In this work, we propose a novel technique for obtaining descriptors of gray-level texture images. The descriptors are provided by applying a multiscale transform to the fractal dimension of the image estimated through the ...
Three-dimensional Connectivity Index For Texture Recognition
(Elsevier Science BVAmsterdam, 2016)
Deep Texture Features for Robust Face Spoofing Detection
(2017-12-01)
Biometric systems are quite common in our everyday life. Despite the higher difficulty to circumvent them, nowadays criminals are developing techniques to accurately simulate physical, physiological, and behavioral traits ...
Multi-scale gray level co-occurrence matrices for texture description
(Elsevier Science BvAmsterdamHolanda, 2013)
Color texture analysis based on fractal descriptors
(ELSEVIER SCI LTDOXFORD, 2012)
Color texture classification is an important step in image segmentation and recognition. The color information is especially important in textures of natural scenes, such as leaves surfaces, terrains models, etc. In this ...