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"Digital Image Processing" is a third generation book that builds on two highly successful earlier editions and the authors' twenty years of academic and industrial experience in image processing. The book provides an introduction to basic concepts and methodologies for image processing and develops the foundation for further study in this diverse and rapidly evolving field. The topics covered range from enhancement and restoration to image encoding, segmentation, description, recognition, and interpretation. These topics are illustrated by numerous computer-processed images. A manuel, available to instructors, contains solutions to all problems, curriculum guidelines, and project suggestions.
For courses in Image Processing and Computer Vision.
Completely self-contained - and heavily illustrated - this introduction to basic concepts and methodologies for digital image processing is written at a level that truly is suitable for seniors and first-year graduate students in almost any technical discipline. The leading textbook in its field for more than twenty years, it continues its cutting-edge focus on contemporary developments in all mainstream areas of image processing - e.g., image fundamentals, image enhancement in the spatial and frequency domains, restoration, color image processing, wavelets, image compression, morphology, segmentation, image description, and the fundamentals of object recognition. It focuses on material that is fundamental and has a broad scope of application.