Anisotropic Diffusion in Image Processing
by Joachim Weickert
Publisher: Teubner 1998
Number of pages: 184
Many recent techniques for digital image enhancement and multiscale image representations are based on nonlinear partial differential equations (PDEs). This book gives an introduction to the main ideas behind these methods, and it describes in a systematic way their theoretical foundations, numerical aspects, and applications.
Home page url
Download or read it online for free here:
by Simon J.D. Prince - Cambridge University Press
This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use data to learn the relationships between the observed image data and the aspects that we wish to estimate.
by David Vernon - Prentice Hall
This book is a comprehensive introduction to machine vision, it will allow the reader to quickly comprehend the essentials of this topic. Emphasis is on a range of the tools and techniques for image acquisition, processing, and analysis.
by Jan Erik Solem - O'Reilly Media
The idea behind this book is to give an easily accessible entry point to hands-on computer vision with enough understanding of the underlying theory and algorithms to be a foundation for students, researchers and enthusiasts.
by S. Dance, Z.Q. Liu, T.M. Caelli - World Scientific
Explores a method for symbolically intrepreting images based upon a parallel implementation of a network-of-frames to describe intelligent processing. The system has been implemented in an object-oriented environment in the language Parlog++.