This textbook covers both fundamentals and advanced topics in computer-based recognition of objects in scenes. It is intended to be both a text and a reference. Almost every chapter has a “Fundamentals” section which is pedagogically structured as a textbook, and a “Topics” section which includes extensive references to the current literature and can be used as a reference. The text is directed toward graduate students and advanced undergraduates in electrical and computer engineering, computer science, or mathematics.
Providing all the necessary theoretical tools, this comprehensive introduction to machine vision shows how these tools are applied in actual image processing and machine vision systems. A key feature is the inclusion of many programming exercises giving insights into the development of practical image processing algorithms. A CD-ROM containing software and data used in these exercises is also included. Aimed at graduate students in electrical engineering, computer science, and mathematics, the book will be a useful reference for professionals as well.
