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
Correction to "Rotation And Gray-scale Transform-invariant Texture Classification Using Spiral Resampling, Subband Decomposition, And Hidden Markov Model"
Wen-Rong Wu,Shieh-Chung Wei +1 more
TL;DR: In this paper, the authors proposed a new texture classification algorithm that is invariant to rotation and gray-scale transformation by using a quadrature mirror filter (QMF) bank to decompose sampled signals into subbands.
Journal ArticleDOI
Classification and segmentation of rotated and scaled textured images using texture “tuned” masks
Jane You,Harvey A. Cohen +1 more
TL;DR: In a study based on 15 distinct Brodatz textures it is found that the tuning process although computationally intensive converges efficiently; the mean classifier values of the classifier for a particular texture at different orientation and different scales are tightly clustered.
Journal ArticleDOI
Application of artificial neural networks for the classification of liver lesions by image texture parameters
TL;DR: In this article, a multilayered back-propagation neural network was used for liver lesion classification using B-scan ultrasound images for normal, hemangioma and malignant livers.
Journal ArticleDOI
Combining belief networks and neural networks for scene segmentation
TL;DR: The use of conditional maximum-likelihood training for the TSBN is investigated and it is found that this gives rise to improved classification performance over the ML-trained TSBN.
Journal ArticleDOI
Fast algorithms for estimating local image properties
TL;DR: A highly efficient procedure for computing property estimates within Gaussian-like windows is described, which is obtained within windows of many sizes simultaneously.
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.