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
Noisy fingerprint classification using multilayer perceptron with fuzzy geometrical and textural features
Sankar K. Pal,Sushmita Mitra +1 more
TL;DR: A multilayer perceptron is used for the classification of noisy fingerprint patterns and the generalization ability of the model in handling distorted fingerprint images is demonstrated.
Journal ArticleDOI
Assistive system based on nerve detection and needle navigation in ultrasound images for regional anesthesia
TL;DR: This work presents the first fully automatic system for the detection of regions of interest and generation of the needle trajectory in ultrasound images for UGRA, and demonstrates the robustness of the proposed scheme and the feasibility of such an assistive system.
Journal ArticleDOI
Machine learning based liver disease diagnosis: A systematic review
TL;DR: In this article , a detailed analysis of computer-aided diagnosis of hepatic lesions in view of diffuse-and focal liver disorders is presented, with pros and cons for each preliminary step, particularly preprocessing, attribute analysis, and classification techniques to accomplish clinical diagnostic tasks.
Journal ArticleDOI
Noninvasive diagnosis of cardiac rejection through echocardiographic tissue characterization
TL;DR: It is concluded that cardiac rejection is associated with echocardiographic texture alterations and that serial echocentreographic texture analysis can reliably identify rejection.
Journal ArticleDOI
Texture classification of machined surfaces using image processing and machine learning techniques
TL;DR: The efficiency of proposed methodology, which is useful for identifying texture images, is demonstrated, is found that Artificial Neural Network and Random forest give100 % training accuracy and 99% cross validation accuracy.
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.