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
Constructing and applying higher order textons
TL;DR: Texture analysis based on textons is extended by introducing a method for computing textons of arbitrary order and it is indicated that including higher-order textons has the potential to improve classification performance.
MonographDOI
Transform texture classification
TL;DR: This thesis addresses the three major components of a texture classification system: texture image transform, feature extraction/selection, and classification, and introduces a novel Multi-level Dominant Eigenvector Estimation algorithm, which reduces the computational complexity of the standard KLT by several orders of magnitude.
Book ChapterDOI
Intelligent vocal cord image analysis for categorizing laryngeal diseases
TL;DR: In this paper, a decision support system for automated analysis of vocal cord images, created exploiting numerous vocal cord image sequences, is presented, enabling increased reliability of the analysis, and decreased intra-and inter-observer variability.
Journal ArticleDOI
Radial feature descriptors for cell classification and recommendation
Romuere R. V. Silva,Romuere R. V. Silva,Flávio H. D. Araújo,Flávio H. D. Araújo,Daniela Ushizima,Daniela Ushizima,Andrea Gomes Campos Bianchi,Cláudia Martins Carneiro,Fátima N. S. de Medeiros +8 more
TL;DR: Computational tools for cell classification into normal and abnormal, as well as content-based-image-retrieval (CBIR) for cell recommendation are introduced, and the radial feature descriptors (RFD) are proposed, which define evenly interspaced segments around the nucleus, and proportional to the convexity of the nuclear boundary.
Journal ArticleDOI
Texture operator for snow particle classification into snowflake and graupel
TL;DR: The automatic classification system presented here describes the images with texture operators and it was noticed that describing an image with two texture operators does not improve the classification results considerably, and suggests that the information gathered by each texture operator is redundant.
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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