This is the second volume of a book series that provides a modern, algori- mic introduction to digital image processing. It is designed to be used both by learners desiring a ?rm foundation on which to build and practitioner...

Buy Now From Amazon

This is the second volume of a book series that provides a modern, algori- mic introduction to digital image processing. It is designed to be used both by learners desiring a ?rm foundation on which to build and practitioners in search of critical analysis and modern implementations of the most important techniques. This updated and enhanced paperback edition of our compreh- sive textbook Digital Image Processing: An Algorithmic Approach Using Java packages the original material into a series of compact volumes, thereby s- porting a ?exible sequence of courses in digital image processing. Tailoring the contents to the scope of individual semester courses is also an attempt to p- vide a?ordable (and “backpack-compatible”) textbooks without comprimising the quality and depth of content. This second volume, titled Core Algorithms, extends the introductory - terial presented in the ?rst volume (Fundamental Techniques) with additional techniques that are, nevertheless, part of the standard image processing to- box. A forthcomingthird volume(Advanced Techniques) will extendthis series and add important material beyond the elementary level, suitable for an - vanced undergraduate or even graduate course.

Similar Products

Principles of Digital Image Processing: Fundamental Techniques (Undergraduate Topics in Computer Science)Principles of Digital Image Processing: Advanced Methods (Undergraduate Topics in Computer Science)The Image Processing Handbook, Seventh EditionImage Processing: The FundamentalsIntroduction to Algorithms, 3rd Edition (MIT Press)Deep Learning (Adaptive Computation and Machine Learning series)Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent SystemsAn Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)