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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Proceedings ArticleDOI
Obstacle recognition using multiple kernel in visible and infrared images
TL;DR: The purpose is to develop the obstacle recognition module and to obtain a robust model for an SVM-multiple-kernel based classification.
Journal ArticleDOI
Comparison of methods for texture analysis of QUS parametric images in the characterization of breast lesions.
Laurentius O. Osapoetra,William Chan,William T. Tran,William T. Tran,William T. Tran,Michael C. Kolios,Gregory J. Czarnota +6 more
TL;DR: In this article, the authors evaluated different texture analysis methods applied on QUS spectral parametric images for the characterization of breast lesions for the diagnosis of malignancy and tumour grading.
Journal ArticleDOI
Cytophotometric analysis of cervical intraepithelial neoplasia grade III, with and without synchronous invasive squamous cell carcinoma†
TL;DR: Statistical analysis of cytophotometric data indicated significant differences between the group of CIN III lesions and CIN.INV lesions, possibly with a potentially progressive course.
Journal ArticleDOI
Exploiting morphology and texture of 3D tumor models in DTI for differentiating glioblastoma multiforme from solitary metastasis
Alexandros Vamvakas,Ioannis Tsougos,Nikolaos Arikidis,Eftychia E. Kapsalaki,Konstantinos Fountas,Ioannis Fezoulidis,Lena Costaridou +6 more
TL;DR: Surface morphology and texture analysis of 3D tumor imaging appearance in pre-treatment brain MRI tumor differentiation demonstrates the potential of surface morphology andtexture analysis for differentiation between GBMs and METs.
Journal ArticleDOI
Preparation of 2D sequences of corneal images for 3D model building
Abdulhakim Elbita,Abdulhakim Elbita,Rami Qahwaji,Stanley S. Ipson,Mhd Saeed Sharif,Faruque Ghanchi +5 more
TL;DR: In this article, the authors address problems associated with capturing and processing these images including blurring, non-uniform illumination and noise, as well as the displacement of images laterally and in the anterior-posterior direction caused by subject movement.
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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