Feasibility Analysis of Tamura Features in the Identification of Machined Surface Images Using Machine Learning and Image Processing Techniques

Feasibility Analysis of Tamura Features in the Identification of Machined Surface Images Using Machine Learning and Image Processing Techniques

In modern manufacturing industries with Industry 4.0 capabilities, the automated identification and classification of machined surfaces based on their texture will play a crucial role. Texture analysis through computer vision, image processing, classification using artificial neural networks (ANN),...

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Bibliographic Details
Main Authors: Raghavendra C. Kamath, G. S. Vijay, Ganesha Prasad, P. Krishnananda Rao, Uday Kumar Shetty, Gautham Parameshwaran, Aniket Shenoy, Prithvi Shetty
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Engineering Proceedings
Subjects:
Tamura features
machined surfaces
images
classification
ANN
machine learning algorithms
Online Access:https://www.mdpi.com/2673-4591/59/1/92
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