This easy-to-follow textbook is the third of 3 volumes which provide a modern, algorithmic introduction to digital image processing, designed to be used both by learners desiring a firm foundation on which to build, and practitioners in search of critical analysis and modern implementations of the most important techniques. The reader-friendly text builds on the contents of the previous volumes, presenting additional advanced methods, including those for performing dynamic point operations, non-linear edge-preserving filters and filters for color images, advanced edge detection operators, local feature extraction, curve fitting, etc. This volume continues to provide readers with proven concepts, offering a selection of advanced standard techniques and recent methods that are widely used in research and practical applications. This reader-friendly text will equip undergraduates with a deeper understanding of the topic as well as being valuable for further developing knowledge for self-study.
