Results 261 to 270 of about 49,221,189 (338)
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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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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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Texture Analysis of Imaging: What Radiologists Need to Know.
AJR. American journal of roentgenology, 2019OBJECTIVE Radiologic texture is the variation in image intensities within an image and is an important part of radiomics. The objective of this article is to discuss some parameters that affect the performance of texture metrics and propose ...
B. Varghese +3 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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Cardiac MRI Texture Analysis of T1 and T2 Maps in Patients with Infarctlike Acute Myocarditis.
Radiology, 2018Purpose To assess the diagnostic potential of texture analysis applied to T1 and T2 maps obtained with cardiac MRI for the diagnosis of acute infarctlike myocarditis.
B. Baessler +10 more
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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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Textural analysis of range images
Pattern Recognition Letters, 1991Abstract This paper addresses the problem of texture discrimination in range images. The range data is transformed to a common coordinate system, and then resampled to generate a regular grid of points in order to eliminate the effect of different sampling rates.
Arya, Sunil +3 more
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Applied Acoustics, 2018
Emotional state detection is an important part of human-machine interaction studies. The features used in emotion recognition are derived from the changes in facial mimics and speech signals.
Turgut Özseven
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Emotional state detection is an important part of human-machine interaction studies. The features used in emotion recognition are derived from the changes in facial mimics and speech signals.
Turgut Özseven
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Feature Analysis and Texture Synthesis
2007 10th IEEE International Conference on Computer-Aided Design and Computer Graphics, 2007Most texture synthesis algorithms explicitly or implicitly adopt Markov random field or similar distribution as their basic model to guide the synthesis process. However, MRF-like models can 't handle textures well with large scale structure or unstable structure due to their inherent local and stable assumptions. To make improvement in this regard, we
Yuanting Gu, Enhua Wu
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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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