A broad-ranging technical survey of computational and analytical methods and tools for digital image analysis and interpretation. An excellent, up-to-date resource for practitioners, researchers and professionals in computer science and engineers'digital imaging and analysis.

Inhalt
Mathematical Methods for Image Analysis.- to Part I.- Numerical Harmonic Analysis and Image Processing.- Stochastic Shape Theory.- Image Compression and Coding.- Data Handling.- to Part II.- Parallel and Distributed Processing.- Image Data Catalogs.- Robust and Adaptive Image Understanding.- to Part III.- Graphs in Image Analysis.- Hierarchies.- Robust Methods.- Structural Object Recognition.- Machine Learning.- Information Fusion and Radiometric Models for Image Understanding.- to Part IV.- Information Fusion in Image Understanding.- Image Understanding Methods for Remote Sensing.- 3D Reconstruction.- to Part V.- Fundamentals.- Image Matching Strategies.- Precise Photogrammetric Measurement: Location of Targets and Reconstruction of Object Surfaces.- 3D Navigation and Reconstruction.- 3D Object Sensing Using Rotating CCD Cameras.