- Proceeding Paper
Feasibility Analysis of Tamura Features in the Identification of Machined Surface Images Using Machine Learning and Image Processing Techniques
- Raghavendra C. Kamath,
- G. S. Vijay,
- Ganesha Prasad,
- P. Krishnananda Rao,
- Uday Kumar Shetty,
- Gautham Parameshwaran,
- Aniket Shenoy and
- Prithvi Shetty
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, class...