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
Texture analysis of X-ray radiographs is correlated with bone histomorphometry.
TL;DR: Although the relationships between the 2D and 3D trabecular architecture are not fully elucidated, the texture analysis of X-ray films might be a suitable approach to investigate the disorganization of bone in osteoporosis.
Journal ArticleDOI
Texture Analysis for Automatic Segmentation of Intervertebral Disks of Scoliotic Spines From MR Images
TL;DR: A unified framework for automatic segmentation of intervertebral disks of scoliotic spines from different types of magnetic resonance (MR) image sequences is presented and it is suggested that the selected texture features and classification can contribute to solve the problem of oversegmentation inherent to existingautomatic segmentation methods.
Book ChapterDOI
Detecting digital image splicing in chroma spaces
TL;DR: Experimental results have shown that that RLRN features extracted from chroma channels provide much better performance than that extracted from R, G, B and luminance channels.
Journal ArticleDOI
Three-Dimensional Carotid Ultrasound Plaque Texture Predicts Vascular Events
Arna van Engelen,Thapat Wannarong,Grace Parraga,Wiro J. Niessen,Aaron Fenster,J. David Spence,Marleen de Bruijne +6 more
TL;DR: Changes in both plaque texture and volume are strongly predictive of vascular events and in high-risk patients, 3D ultrasound plaque measurements should be considered for vascular event risk prediction.
Journal ArticleDOI
Radiomics in Oncology: A Practical Guide
Joshua Shur,Simon J. Doran,Santosh Kumar,Derfel Ap Dafydd,Kate Downey,James P B O'Connor,Nikolaos Papanikolaou,Christina Messiou,Dow-Mu Koh,Matthew R. Orton +9 more
TL;DR: Radiomics refers to the extraction of mineable data from medical imaging and has been applied within oncology to improve diagnosis, prognostication, and clinical decision support, with the goal of...
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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