Digital Image Processing

This modern, self-contained textbook provides an accessible introduction to the field fromthe perspective of a practicing programmer, supporting a detailed presentation of thefundamental concepts and techniques with practical exercises and fully worked outimplementation examples. This much-anticipated 3rd edition of the definitive textbook onDigital Image Processing has been completely revised and expanded with new content,improved illustrations and teaching material. Topics and features: Contains new chapters on fitting of geometric primitives, randomized featuredetection (RANSAC), and maximally stable extremal regions (MSER). Includes exercises for most chapters and provides additional supplementary materials and software implementations at an associated website. Uses ImageJ for all examples, a widely used open source imaging environment that can run on allmajor platforms. Describes each solution in a stepwise manner in mathematical form, as abstractpseudocode algorithms, and as complete Java programs that can be easily ported toother programming languages. Presents suggested outlines for a one- or two-semester course in the preface. Advanced undergraduate and graduate students will find this comprehensive and example-rich textbook will serve as the ideal introduction to digital image processing. It will also proveinvaluable to researchers and professionals seeking a practically focused self-study primer.