Geometry-Driven Diffusion in Computer Vision (Computational Imaging and Vision) [Hardcover]

Bart M. Haar Romeny (Editor)

Book Description

Publication Date: September 30, 1994 | ISBN-10: 0792330870 | ISBN-13: 978-0792330875 | Edition: 1

This seminal book is a primer on geometry-driven, nonlinear diffusion as a promising new paradigm for vision, with an emphasis on the tutorial. It gives a thorough overview of current linear and nonlinear scale-space theory, presenting many viewpoints such as the variational approach, curve evolution and nonlinear diffusion equations. The book is meant for computer vision scientists and students, with a computer science, mathematics or physics background. Appendices explain the terminology. Many illustrated applications are given, e.g. in medical imaging, vector valued (or coupled) diffusion, general image enhancement (e.g. edge preserving noise suppression) and modeling of the human front-end visual system. Some examples are given to implement the methods in modern computer-algebra systems. From the Preface by Jan J. Koenderink: ` I have read through the manuscript of this book in fascination. Most of the approaches that have been explored to tweak scale-space into practical tools are represented here. It is easy to appreciate how both the purist and the engineer find problems of great interest in this area. The book is certainly unique in its scope and has appeared at a time where this field is booming and newcomers can still potentially leave their imprint on the core corpus of scale related methods that still slowly emerge. As such the book is a very timely one. It is quite evident that it would be out of the question to compile anything like a textbook at this stage: this book is a snapshot of the field that manages to capture its current state very well and in a most lively fashion. I can heartily recommend its reading to anyone interested in the issues of image structure, scale and resolution. '

Product Details

• Hardcover: 484 pages
• Publisher: Springer; 1 edition (September 30, 1994)
• Language: English
• ISBN-10: 0792330870
• ISBN-13: 978-0792330875
• Product Dimensions: 9.2 x 6.4 x 1.3 inches
• Shipping Weight: 1.6 pounds (View shipping rates and policies)
• Amazon Best Sellers Rank: #2,228,961 in Books (See Top 100 in Books)
  • #30 in Books > Computers & Technology > Computer Science > Artificial Intelligence > Computer Vision