Texture image analysis and texture classification methods-A review

L Armi, S Fekri-Ershad - arXiv preprint arXiv:1904.06554, 2019 - arxiv.org
Tactile texture refers to the tangible feel of a surface and visual texture refers to see the
shape or contents of the image. In the image processing, the texture can be defined as a …

Texture image Classification based on improved local Quinary patterns

L Armi, S Fekri-Ershad - Multimedia Tools and Applications, 2019 - Springer
Texture image classification is an active research topic in computer vision that play an
important role in many applications such as visual inspection systems, object tracking …

Implementation of an ontological reasoning to support the guideline-based management of primary breast cancer patients in the DESIREE project

J Bouaud, S Pelayo, JB Lamy, C Prebet, C Ngo… - Artificial Intelligence in …, 2020 - Elsevier
The DESIREE project has developed a platform offering several complementary therapeutic
decision support modules to improve the quality of care for breast cancer patients. All …

Breast density classification in mammograms: An investigation of encoding techniques in binary-based local patterns

A Rampun, PJ Morrow, BW Scotney, H Wang - Computers in Biology and …, 2020 - Elsevier
We investigate various channel encoding techniques applied to breast density classification
in mammograms; specifically, local binary, ternary, and quinary encoding approaches are …

Texture images classification using improved local quinary pattern and mixture of ELM-based experts

L Armi, E Abbasi, J Zarepour-Ahmadabadi - Neural Computing and …, 2022 - Springer
Texture images classification plays an important role in machine vision that can be used to
distinguish the surface and objects of an image from each other. Texture classification is a …

Morph_SPCNN model and its application in breast density segmentation

Y Qi, Z Yang, J Lei, J Lian, J Liu, W Feng… - Multimedia Tools and …, 2021 - Springer
Breast density is known as a significant indicator of breast cancer risk prediction and greatly
reduces the digital mammograms sensitivity. In this work, based on the simple pulse coupled …

Breast density measurement methods on mammograms: a review

X Li, Y Qi, M Lou, W Zhao, J Meng, W Zhang, Y Ma - Multimedia Systems, 2022 - Springer
In recent years, due to the high correlation between breast cancer and breast density, the
quantitative and qualitative analysis of breast density has attracted wide attention from …

Classification of Skin Cancer With Using Color-ILQP and MEETG

L Armi, H Ebrahimpour-Komleh - 2023 6th International …, 2023 - ieeexplore.ieee.org
Skin cancer is one of the most common forms of cancer in the world that has grown
dramatically over the past decades. Malignant melanoma is the deadliest type of skin …

A Strategic Approach for 2D Texture Analysis using DTCWT, SWT and GLCM

CR Mohan, S Kiran - Journal of Science & Technology (JST), 2022 - jst.org.in
A Strategic Approach for 2D Texture Analysis using DTCWT, SWT and GLCM Page 1 Journal of
Science and Technology ISSN: 2456-5660 Volume 7, Issue 02 (MAR-APR 2022) www.jst.org.in …

Traitement automatique d'images de visages algorithmes et architecture

F Ayeche - 2021 - dspace.univ-setif.dz
De nos jours, les techniques de reconnaissance automatique des visages et d'expressions
faciale snécessitent des résultats de reconnaissance précis et un temps d'exécution réduit …