Journal ArticleDOI
Texture analysis using gray level run lengths
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TLDR
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.About:
This article is published in Computer Graphics and Image Processing.The article was published on 1975-06-01. It has received 1848 citations till now. The article focuses on the topics: Image texture & Texture (geology).read more
Citations
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Journal ArticleDOI
Characterization of Chromatin Distribution in Cell Nuclei
TL;DR: Four measures attempt to describe in an objective and meaningful way the heterogeneity, granularity, condensation, and margination of chromatin in cell nuclei in nuclear chromatin.
Journal ArticleDOI
Mammographic masses characterization based on localized texture and dataset fractal analysis using linear, neural and support vector machine classifiers
Michael E. Mavroforakis,Harris V. Georgiou,N. Dimitropoulos,Dionisis Cavouras,Sergios Theodoridis +4 more
TL;DR: Textural features extracted at larger scales and sampling box sizes proved to be more content-rich than their equivalents at smaller scales and sizes and fractal analysis on the dimensionality of the textural datasets verified that reduced subsets of optimal feature combinations can describe the original feature space adequately for classification purposes.
Journal ArticleDOI
Classification of cereal grains using wavelet, morphological, colour, and textural features of non-touching kernel images
TL;DR: In this paper, a total of 51 morphological features, 93 colour features, 56 textural features, and 135 wavelet features were extracted from each kernel for classification of non-touching kernels of Canada Western Red Spring (CWRS), Canada Western Amber Durum (CWAD), barley, oats, and rye were acquired using an area scan camera.
Journal ArticleDOI
Beyond breast density: a review on the advancing role of parenchymal texture analysis in breast cancer risk assessment
TL;DR: The advancing role of mammographic texture analysis is reviewed as a potential novel approach to characterize the breast parenchymal tissue to augment conventional density assessment in breast cancer risk estimation.
Journal ArticleDOI
Harmonizing the pixel size in retrospective computed tomography radiomics studies.
Dennis S. Mackin,Dennis S. Mackin,X Fave,X Fave,Lifei Zhang,Jinzhong Yang,A. Kyle Jones,Chaan S. Ng,Laurence E. Court,Laurence E. Court +9 more
TL;DR: Applying a correction based on resampling and Butterworth low-pass filtering in the frequency domain effectively reduced variability in CT radiomics features caused by variations in pixel size.
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
Gray-Level Manipulation Experiments for Texture Analysis
TL;DR: Some gray-level manipulation techniques are described, the first of which involves changing thegray-level distribution within the picture, and a method for extracting relatively noise-free objects from a noisy background is described.
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