Computer Vision for X-Ray Testing

Discover the essential guide to computer vision in industrial X-ray testing with Computer Vision for X-Ray Testing by Domingo Mery. This second edition, published in 2021 by Springer Nature Switzerland AG, spans an impressive 456 pages, providing a comprehensive introduction to the algorithms that power modern X-ray testing applications.

This engaging textbook delves into fundamental concepts for simulating X-ray images, offering readers a clear understanding of both geometric and imaging models utilized in the simulation process. Whether you are a student, researcher, or industry professional, this book equips you with the knowledge needed to navigate the complexities of computer vision in X-ray testing.

Enhance your expertise and stay at the forefront of technology with this indispensable resource!