Journal ArticleDOI
Texture analysis using gray level run lengths
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
Towards MIB-1 and p53 detection in glioma magnetic resonance image: a novel computational image analysis method
TL;DR: The experimental results demonstrated that MR image texture features are associated with the expression status of MIB-1 and p53, which makes the proposed method promising for clinical glioma diagnosis and prognosis.
Journal ArticleDOI
Image feature evaluation in two new mammography CAD prototypes.
TL;DR: The comparison of CAD prototypes revealed that the quality of results is highly dependent on the correct usage of statistical models, feature selection methods, and evaluation schemes.
Posted ContentDOI
Automated Clear Cell Renal Carcinoma Grade Classification with Prognostic Significance
Katherine Tian,Christopher A. Rubadue,Douglas I. Lin,Mitko Veta,Michael E. Pyle,Humayun Irshad,Yujing J. Heng +6 more
TL;DR: An automated 2-tiered Fuhrman’s grading system for clear cell renal cell carcinoma (ccRCC) and future work can adapt this computational system to predict WHO/ISUP grades, and validating this system on other ccRCC cohorts is suggested.
Journal ArticleDOI
Extended Mapping Local Binary Pattern Operator for Texture Classification
M.H. Shakoor,Reza Boostani +1 more
TL;DR: The introduced mapping can increase the performance of any rotation invariant LBP, especially for large neighborhood, and is higher than that of some state-of-the-art LBP versions such as multiresolution CLBP and CLBC, DLBP, VZ_MR8, VTJoint, LTP, and LBPV.
Journal ArticleDOI
Technical Section: A hybrid pixel-based classification method for blood vessel segmentation and aneurysm detection on CTA
Spiros Kostopoulos,Dimitris Glotsos,George C. Kagadis,Antonis Daskalakis,Panagiota Spyridonos,Ioannis Kalatzis,M. Karamessini,T. Petsas,D. Cavouras,G.C. Nikiforidis +9 more
TL;DR: A hybrid semi-supervised pixel-based classification algorithm that requires no a priori knowledge of the topology of the vessels and no operator intervention is proposed for the automatic segmentation of intracranial aneurysms in Computed Tomography Angiography images.
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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