PART I: Mathematical Methods for Image Analysis--1.Numerical Harmonic Analysis and Image Processing; 2.Stochastic Shape Theory; 3.Image Compression and Coding; PART II: Data Handling--4.Parallel and Distributed Processing; 5.Image Data Catalogs; PART III: Robust and Adaptive Image Understanding--6.Graphs in Image Analysis; 7.Hierarchies; 8.Robust Methods; 9.Structural Object Recognition; 10.Machine Learning; PART IV: Information Infusion and Radiometric Models for Image Understanding--11.Information Fusion in Image Understanding; 12.Image Understanding Methods for Remote Sensing; PART V: 3-D Reconstruction--13.Fundamentals; 14.Image Matching Strategies; 15.Precise Photogrammetric Measurement; 16.3-D Navigation and Reconstruction; 17.3-D Object Sensing Using Rotating CCD Cameras
The challenge behind the processing of digital images is the huge amounts of data that has to be processed in an extremely short period of time. This book is a broad-ranging technical survey of computational and analytical methods and tools for digital image analysis and interpretation. The ultimate goal is to create a rich set of computational methods for image analysis and interpretation that can achieve rapid response times. This book will serve as an excellent up-to-date resource for computer scientists and engineers in digital imaging and analysis.