Automated Classification of Marble Types Using Texture Features and Neural Networks: A Robust Approach for Enhanced Accuracy and Reproducibility

A Elsaied, OB Abouelatta, M Aboueleaz - International Conference on …, 2024 - Springer
The automatic classification of marble is a challenging task that requires a combination of
image processing, texture analysis, and machine learning techniques. However, the …

Types Using Texture Features and Neural Networks: A Robust Approach

A Elsaied, OB Abouelatta… - Deep Learning and Visual …, 2024 - books.google.com
The texture and design of marble have long been held as symbols of affluence and taste.
There is a rising demand for marble that supplies to numerous sectors, so it is important to …

[PDF][PDF] CMLBPINCOHERENT: A NEW CONTEXTUAL IMAGE DESCRIPTOR FOR SCENE CLASSIFICATION

AF Ferrari - academia.edu
Scene classification has been widely studied in the last years and is a significant computer
vision problem. Currently, this application has been involved by several researchers, since …

[PDF][PDF] CMLBPIncoherent: a New Contextual Image Descriptor for Scene Classification

MVL Ribeiro, EOT Salles, AF Ferrari - 2019 - scholar.archive.org
Scene classification has been widely studied in the last years and is a significant computer
vision problem. Currently, this application has been involved by several researchers, since …

[PDF][PDF] Development of Graphical Interface Based Marble Classification Application

E TURAN, BDC BAL - academia.edu
Purpose: Within the scope of the study, it was aimed to develop a system that automates the
marble classification process by removing personnel dependency. Histogram, LBP and SIFT …

Grafiksel Arayüz Tabanlı Mermer Sınıflandırma Uygulaması Geliştirme

E Turan, B Dandıl, C Bal - Gazi University Journal of Science Part C …, 2020 - dergipark.org.tr
Mermerlerin dokularına göre sınıflandırma işlemi, uzmanlık gerektiren kişisel görüşe dayalı
manuel bir işlemdir. Uzman personel işletme içinde belirlenen ölçütlere göre mermeri renk …