The second edition of a bestseller, this book is a practical guide to image processing for the natural and technical sciences community. Students, practitioners, and researchers can gain immediate access to a sound basic knowledge of image processing by referencing general principles in the natural sciences. The book describes carefully selected algorithms in detail and demonstrates real-world applications that show the reader how to solve complex image processing problems. Hundreds of photos, figures, diagrams, and tables illustrate the text, and numerous well-organized tips save countless hours in the practical handling of image acquisition and processing.

chapter 1|32 pages


chapter 2|20 pages

Tasks and Tools

part |2 pages

Part I: From Objects to Images

chapter 3|64 pages

Quantitative Visualization

chapter 4|50 pages

Image Formation

chapter 5|38 pages

Imaging Sensors

chapter 6|32 pages

Digitalization and Quantization

part |2 pages

Part II: Handling and Enhancing Images

chapter 7|28 pages


chapter 8|24 pages


chapter 9|20 pages

Restoration and Reconstruction

part |2 pages

Part III: From Images to Features

chapter 10|40 pages


chapter 11|36 pages


chapter 12|28 pages

Edges and Lines

chapter 13|24 pages

Orientation and Velocity

chapter 14|30 pages

Scale and Texture

part |2 pages

Part IV: From Features to Objects

chapter 15|12 pages


chapter 16|22 pages

Size and Shape

chapter 17|12 pages


part |2 pages

Part V: Appendices

chapter |6 pages

A Notation

chapter |8 pages

B Mathematical Toolbox

chapter C|32 pages

C Glossary

chapter |7 pages


chapter |9 pages


chapter |26 pages

D Color Plates