Applied Image Processing

Written from an engineering perspective, this book incorporates a thorough theoretical introduction to the underlying disciplines via its treatment of a generic machine vision system model. Dedicated chapters introduce image acquisition techniques matched to constrained environments, image processing, segmentation, feature extraction, pattern classification (including neural approaches) and interpreting two-dimensional views of the three-dimensional world. The text is illustrated with case studies of image processing in a range of application domains.