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
Combining ABCD Rule, Texture Features and Transfer Learning in Automatic Diagnosis of Melanoma
Nayara Holanda de Moura,Rodrigo Veras,Kelson Rômulo Teixeira Aires,Vinicius Ponte Machado,Romuere R. V. Silva,Flávio H. D. Araújo,Maíla de Lima Claro +6 more
TL;DR: An extensive study was conducted to define the best set of attributes for image representation and the proposed approach aims to classify skin lesions using a hybrid descriptor obtained by combining features of color, shape, texture and pre-trained Convolutional Neural Networks.
Journal ArticleDOI
Leukocyte image analysis in the diff3 system
TL;DR: The diff3 System uses image processing and pattern recognition techniques to automatically analyze normal and abnormal white blood cells in a blood smear and concludes with some examples of texture extraction which illustrate the power of the Golay processor as a tool for image analysis.
Journal ArticleDOI
Chromatin pattern by variogram analysis
TL;DR: Preliminary data obtained from young neurons undergoing massive apoptosis reveal a self‐consistent map of nuclear changes correlated to the degenerative process, which can be adopted to explore nuclear images and recognize chromatin patterns.
Iconographies supplémentaires de l'article : Imagerie médicale computationnelle (radiomique) et potentiel en immuno-oncologie
R Sun,Elaine Johanna Limkin,Laurent Dercle,Sylvain Reuzé,E I Zacharaki,C Chargari,Antoine Schernberg,A.S. Dirand,A. Alexis,N Paragios,É Deutsch,Charles Ferté,C Robert +12 more
TL;DR: L’imagerie medicale computationnelle presente l’avantage d’etre non invasive, de pouvoir evaluer la maladie tumorale dans sa globalite, and de pOUvoir etre repetee dans le temps pour suivre l”evolution tumorale au cours du temps.
Journal ArticleDOI
Colour and Texture Descriptors for Visual Recognition: A Historical Overview.
TL;DR: In this paper, the authors retrace the key ideas and methods that have accompanied the evolution of colour and texture analysis over the last five decades, from the early years to convolutional networks.
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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