Journal ArticleDOI
A Comparative Study of Texture Measures for Terrain Classification
Joan S. Weszka,Charles R. Dyer,Azriel Rosenfeld +2 more
- Vol. 6, Iss: 4, pp 269-285
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TLDR
In this paper, three standard approaches to automatic texture classification make use of features based on the Fourier power spectrum, on second-order gray level statistics, and on first-order statistics of gray level differences, respectively.Abstract:
Three standard approaches to automatic texture classification make use of features based on the Fourier power spectrum, on second-order gray level statistics, and on first-order statistics of gray level differences, respectively. Feature sets of these types, all designed analogously, were used to classify two sets of terrain samples. It was found that the Fourier features generally performed more poorly, while the other feature sets all performned comparably.read more
Citations
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Journal ArticleDOI
Improving Artificial Neural Networks Using Texture Analysis and Decision Trees for the Classification of Land Cover
TL;DR: In this paper, three variants on ANN-based classifiers were applied to Landsat-7 data of southwestern Ohio for an Anderson Level-II land-cover classification: (1) the use of a customized architecture for each land cover class; (2) texture analysis for urban classes; and (3) a decision tree (DT) classifier to refine the ANN output.
Book ChapterDOI
Using Fuzzy Sets for Coarseness Representation in Texture Images
TL;DR: This paper model the concept of ”coarseness”, one of the most important textural features, by means of fuzzy sets and considering the way humans perceive this kind of texture, and relates representative measures of coarseness with its presence degree.
Journal ArticleDOI
Characterization of chronic liver disease based on ultrasound images using the variants of grey-level difference matrix.
TL;DR: A computer-aided system is designed with the optimal feature set to classify liver health in terms of normal, chronic liver, Cirrhosis and hepatocellular carcinoma evolved over cirrhosis.
Journal ArticleDOI
Two-dimensional echocardiographic image texture analysis: Reduction of regional variability using polar coordinates
Philip E. Aylward,Boyd N. Knosp,David D. McPherson,Doug A. Eltoft,Charles E. Yurkonis,Judith A. Bean,David J. Skorton,Steve M. Collins +7 more
TL;DR: Acquisition and analysis of tissue texture data using polar coordinates should allow a more definitive identification of abnormal tissue.
Book ChapterDOI
Image Normalization, Plaque Typing, and Texture Feature Extraction
TL;DR: Ultrasonic image normalization which has been introduced in the late 1990s has enabled us to overcome the problem of reproducible measurements of echodensity when the same patient was scanned in another room and on different equipment.
References
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Journal ArticleDOI
Textural Features for Image Classification
TL;DR: These results indicate that the easily computable textural features based on gray-tone spatial dependancies probably have a general applicability for a wide variety of image-classification applications.
Journal ArticleDOI
Texture analysis using gray level run lengths
TL;DR: In this paper, a set of texture features based on gray level run lengths is described, and good classification results are obtained with these features on a sets of samples representing nine terrain types.
Proceedings Article
Computer description of textured surfaces
TL;DR: This work deals with computer analysis of textured surfaces with descriptions of textures formalized from natural language descriptions obtained from the directional and non-directional components of the Fourier transform power spectrum.
Spectral and textural processing of ERTS imagery
R. M. Haralick,R. J. Bosley +1 more
TL;DR: In this article, a procedure is developed to simultaneously extract textural features from all bands of ERTS multispectral scanner imagery for automatic analysis, and an ellipsoidally symmetric functional form is assumed for the co-occurrence distribution of multiimage greytone N-tuple differences.