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
Multi-level features combined end-to-end learning for automated pathological grading of breast cancer on digital mammograms.
Jinjin Hai,Hongna Tan,Jian Chen,Minghui Wu,Kai Qiao,Jingbo Xu,Lei Zeng,Fei Gao,Dapeng Shi,Bin Yan +9 more
TL;DR: This work proposes to discriminate the pathological grades directly on digital mammograms instead of pathological images and demonstrates that the proposed algorithm is superior to other CNN models and obtain comparable performance compared with pathological images.
Journal ArticleDOI
Partial discharge classification using principal component transformation
TL;DR: In this article, texture analysis algorithms have been applied to generate different features for identifying partial discharge (PD) sources, including spatial gray-level dependence method, gray level difference histogram method, grey-level run-length method and power spectrum method.
Journal ArticleDOI
Textural classification for ecological research using ATM images
TL;DR: In this paper, the authors investigated spectral and textural classification of high resolution ATM image of a semi-natural scene and concluded that texturally-based classifications improve overall classification although improvements are not dramatic.
Book ChapterDOI
Alzheimer’s Disease Diagnosis Based on Moth Flame Optimization
TL;DR: An automatic system for AD diagnosis is proposed and a principle of moth-flame optimization is used as features selection algorithm and support vector machine classifier is adopted to distinguish three kinds of classes including Normal, AD and Cognitive Impairment.
Journal ArticleDOI
Quantitative characterization of texture used for identification of eggs of bovine parasitic nematodes
TL;DR: The rapid and accurate measurements of texture features may serve as a basis for identification or enhance performance of classification criteria based on egg shape/size.
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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