About this document
Metallographic Image Segmentation Guide by Javi Doors is a document available to read on EtoBox.
This document provides a tutorial on image segmentation techniques for metallographic images. It begins with an introduction on the importance of image segmentation for industrial processes and how deep learning techniques have expanded possibilities. It then reviews taxonomies of computer vision techniques for metallographic image segmentation and discusses utilizing pixel similarity with deep learning ensemble models. The document also presents a comparison of techniques on real-world datasets, including
- Author
- Javi Doors
- Language
- EN