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International Journal of Computer Vision and Image Processing, 2014
Image analysis is emerging as an important research area. The study of certain methods of image processing by the texture characteristic has been made in this paper. Existing texture analysis algorithms are studied and classified into four categories: statistical methods, structural methods, model based methods and Transform based methods.
Izem Hamouchene, Saliha Aouat
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Image analysis is emerging as an important research area. The study of certain methods of image processing by the texture characteristic has been made in this paper. Existing texture analysis algorithms are studied and classified into four categories: statistical methods, structural methods, model based methods and Transform based methods.
Izem Hamouchene, Saliha Aouat
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Multifractals, texture, and image analysis
Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003Image analysis using texture and multifractal paradigms is addressed. Multifractal theory and its application to image description are discussed, and it is shown that this approach allows the discrete signal to be worked on directly. A system for texture classification that is based on a learning scheme and does not make use of any a priori model is ...
Lévy Véhel, Jacques +2 more
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Structural Analysis of Natural Textures
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986Many textures can be described structurally, in terms of the individual textural elements and their spatial relationships. This paper describes a system to generate useful descriptions of natural textures in these terms. The basic approach is to determine an initial, partial description of the elements using edge features. This description controls the
Felicia M. Vilnrotter +2 more
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Procedings of the Alvey Vision Conference 1988, 1988
Several researchers have investigated the role of texture as a basis for the recovery of surface orientation. Gibson 1 was the first to address the problem of recovering the orientation of a plane covered with textural elements. He assumed that the density (number of elements per unit area) of these elements is uniform.
Andrew Blake 0001, Constantinos Marinos
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Several researchers have investigated the role of texture as a basis for the recovery of surface orientation. Gibson 1 was the first to address the problem of recovering the orientation of a plane covered with textural elements. He assumed that the density (number of elements per unit area) of these elements is uniform.
Andrew Blake 0001, Constantinos Marinos
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Description of Textures by a Structural Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1982A structural analysis system for describing natural textures is introduced. The analyzer automatically extracts the texture elements in an input image, measures their properties, classifies them into some distinctive classes (one ``ground'' class and some ``figure'' classes), and computes the distributions of the gray level, the shape, and the ...
Fumiaki Tomita +2 more
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IEEE Transactions on Computers, 1977
A procedure is demonstrated for locating textural boundaries in the digital image representation of a natural scene. The technique involves development of an edge operator capable of integrating multiple textural features into a single boundary determination. The process is designed to simulate actual perception of textural discontinuities.
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A procedure is demonstrated for locating textural boundaries in the digital image representation of a natural scene. The technique involves development of an edge operator capable of integrating multiple textural features into a single boundary determination. The process is designed to simulate actual perception of textural discontinuities.
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MORPHOLOGICAL TEXTURE ANALYSIS USING THE TEXTURE EVOLUTION FUNCTION
International Journal of Pattern Recognition and Artificial Intelligence, 2003This paper develops a new technique for modeling and classifying a growing texture using its evolution function over time. It encompasses morphological texture classification and parameter estimation with the objective of assessing the state of growth achieved by the texture using only a small sample set to train on, consistent with many real world ...
Gray, Alison +3 more
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Texture analysis by genetic programming
Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753), 2005This work presents the use of genetic programming (GP) to a complex domain, texture analysis. Two major tasks of texture analysis, texture classification and texture segmentation, are studied. Bitmap textures are used in this investigation. In classification tasks, the results show that GP is able to evolve accurate classifiers based on texture ...
Andy Song, Victor Ciesielski
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An adaptive model for texture analysis
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), 2002This paper proposed a new adaptive texture model applicable to a wide variety of texture types. In this model, the texture field is assumed to be a realization of a regular homogeneous random field and can be decomposed into two components which are indeterministic and deterministic components as in the Wold (1954) texture model.
Yong Huang +2 more
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Texture analysis of aerial photographs
Pattern Recognition, 1983Abstract Different image textures manifest themselves by dissimilarity in both the property values and the spatial interrelationships of their component texture primitives. We use this fact in a texture discrimination system. An image is first segmented into closed regions called units.
Lumia, Ronald +5 more
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