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Texture analysis for glaucoma classification [PDF]

open access: yes2015 International Conference on BioSignal Analysis, Processing and Systems (ICBAPS), 2015
In this paper, we present our ongoing work on glaucoma classification using fundus images. The approach makes use of texture analysis based on Binary Robust Independent Elementary Features (BRIEF). This texture measurement is chosen because it can address the illumination issues of the retinal images and has a lower degree of computational complexity ...
Mohammad, Suraya, Morris, Tim
openaire   +3 more sources

Quaternionic wavelets for texture classification [PDF]

open access: yes2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010
This article proposes a study of the recent quaternionic wavelet transform (QWT) from a practical point of view through a digital image analysis application. Based on a theoretic 2D generalization of the analytic signal leading to a strong 2D signal modeling, this representation uses actual 2D analytic wavelets and yields subbands having a shift ...
Soulard, Raphaël, Carré, Philippe
openaire   +4 more sources

A Novel Texture Descriptor: Circular Parts Local Binary Pattern

open access: yesImage Analysis and Stereology, 2021
Local Binary Pattern (LBP) are considered as a classical descriptor for texture analysis, it has mostly been used in pattern recognition and computer vision applications. However, the LBP gets information from a restricted number of local neighbors which
Ibtissam Al Saidi   +2 more
doaj   +1 more source

Riemannian Laplace Distribution on the Space of Symmetric Positive Definite Matrices

open access: yesEntropy, 2016
The Riemannian geometry of the space Pm, of m × m symmetric positive definite matrices, has provided effective ...
Hatem Hajri   +4 more
doaj   +1 more source

A New Illumination-Rotation-Invariance Texture Feature Based on Quasi-Periodic Signal Analysis

open access: yesIEEE Access, 2020
Texture classification is a classic problem in pattern recognition. It is an effective strategy for improving texture classification to find the texture features with both powerful discrimination and various invariant properties.
Zhihua Yang, Qian Zhang, Feng Zhou
doaj   +1 more source

Nominated Texture Based Cervical Cancer Classification [PDF]

open access: yesComputational and Mathematical Methods in Medicine, 2015
Accurate classification of Pap smear images becomes the challenging task in medical image processing. This can be improved in two ways. One way is by selecting suitable well defined specific features and the other is by selecting the best classifier.
Mariarputham, Edwin Jayasingh   +1 more
openaire   +3 more sources

Texture Classification Based on Sound and Vibro-Tactile Data

open access: yesEngineering Proceedings, 2023
This paper focuses on the development and validation of an automatic learning system for the classification of tactile data in form of vibro-tactile (accelerometer) and audio (microphone) data for texture recognition.
Mustapha Najib, Ana-Maria Cretu
doaj   +1 more source

Matching Intensity for Image Visibility Graphs: A New Method to Extract Image Features

open access: yesIEEE Access, 2021
Recently, the image visibility graphs (IVG) had introduced as simple algorithms by which images map into complex networks. However, current methods based on IVG use global statistical behaviors of the resulting graph to extract image features, which ...
Dongxu Zhu, Sherehe Semba, Huijie Yang
doaj   +1 more source

Locally Directional and Extremal Pattern for Texture Classification

open access: yesIEEE Access, 2019
An image texture was defined in terms of pixel intensities and directionality. However, most of the current texture representation methods did not consider the two key factors simultaneously.
Yongsheng Dong   +6 more
doaj   +1 more source

Multi-Resolution Intrinsic Texture Geometry-Based Local Binary Pattern for Texture Classification

open access: yesIEEE Access, 2020
In this paper, we propose a new hybrid Local Binary Pattern (LBP) based on Hessian matrix and Attractive Center-Symmetric LBP (ACS-LBP), called Hess-ACS-LBP.d The Hessian matrix provides the directional derivative information of different texture regions,
Nuh Alpaslan, Kazim Hanbay
doaj   +1 more source

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