Results 251 to 260 of about 873,558 (300)

Textural Boundary Analysis

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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MORPHOLOGICAL TEXTURE ANALYSIS USING THE TEXTURE EVOLUTION FUNCTION

International Journal of Pattern Recognition and Artificial Intelligence, 2003
This 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 ...
J. McKenzie, Stephen Marshall, Alison J. Gray, Edward R. Dougherty   +3 more
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Texture analysis by genetic programming

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753), 2005
This 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), 2002
This 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, Kap Luk Chan, ZhongYang Huang   +2 more
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Texture analysis of aerial photographs

Pattern Recognition, 1983
Abstract 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, Haralick, Robert M., Zuniga, Oscar, Shapiro, Linda Shapiro, Pong, Ting Chuen, Wang, Far-Peing   +5 more
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Texture analysis of stained cells

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1992
Blast cells, also referred to as immature mononuclear cells, are key indicators in the diagnosis and treatment of leukemias. Pappenheim-stained blasts exhibit a single, more or less dark magenta, generally round nucleus surrounded by light blue cytoplasm.
null Serbouti, null Beuscart, null Harms, null Duhamel, null Gunzer, null Morel, null Aus, null Mary   +7 more
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Texture Discrimination and the Analysis of Proximity

Perception, 1979
A major theory of early visual processing has recently been proposed by Marr, which considers a number of aspects of visual perception in great detail, including grouping and texture discrimination. New phenomena associated with texture discrimination are described and experiments reported which allow a preliminary comparison of Marr's theory, as it ...
J, Fox, J E, Mayhew
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Multifractal texture analysis and classification

Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348), 2003
Existing fractal methods of texture analysis rely on the fractal dimension of textures as a function of scale for their discrimination and classification. We propose a method which is based on the possible multiscaling/multifractality of textures. A stochastic model is suggested to represent this multiscaling behaviour.
Anh, V. V., Maeda, J., Tieng, Q. M., Tsui, H. T.   +3 more
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An Expert System for Texture Analysis

1987
In this work the authors intend to propose an expert system that has been developed and experimented for texture analysis and cleassification.
Sergio Vitulano, A. Esposito, A. Cacace
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Texture analysis of human liver

Journal of Magnetic Resonance Imaging, 2002
AbstractPurposeTo classify healthy and diseased livers by texture analysis (TA).Materials and MethodsWe studied 43 patients divided into four groups according to their clinical stage and 10 controls on a 1.5‐T magnetic resonance (MR) imager, using a T2‐weighted breath‐hold sequence.
Daniel, Jirák, Monika, Dezortová, Pavel, Taimr, Milan, Hájek   +3 more
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