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While most other image processing texts approach this subject from an engineering perspective, The Art of Image Processing with Java places image processing within the realm of both engineering and computer science students by emphasizing software design. Ideal for students studying computer science or software engineering, it clearly teaches them the fundamentals of image processing. Accompanied by rich illustrations that demonstrate the results of performing processing on well-known art pieces, the text builds an accessible mathematical foundation and includes extensive sample Java code. Each chapter provides exercises to help students master the material.

Within these pages, you'll find solid gold tools, tips, and techniques - all wrapped up in our famous hands-on, step-by-step instructional approach that still leads the pack in AutoCAD texts.

Inside, you'll find:

Thousands of graphics to show you how to accomplish a task
Dozens of exercises (and access to more web-based exercises) to enhance your understanding
The best, user-friendly, down-to-earth, keep-it-simple, task-oriented instructions and explanations available to AutoCAD students anywhere!
Access to many web-based tools, references, and supplements that will familiarize you with other methods of doing things
Unique access to our author via web-based communication tools

Timothy Sean Sykes' friendly style and mastery of the material makes readers and students alike feel as though he's sitting at their elbow while they work. Indeed, his availability to his students and readers makes him unique in the textbook world!

Techniques and applications in the areas of image processing and pattern recognition are growing at an unprecedented rate. Containing the latest state-of-the-art developments in the field, Image Processing and Pattern Recognition presents clear explanations of the fundamentals as well as the most recent applications. It explains the essential principles so readers will not only be able to easily implement the algorithms and techniques, but also lead themselves to discover new problems and applications.

Unlike other books on the subject, this volume presents numerous fundamental and advanced image processing algorithms and pattern recognition techniques to illustrate the framework. Scores of graphs and examples, technical assistance, and practical tools illustrate the basic principles and help simplify the problems, allowing students as well as professionals to easily grasp even complicated theories. It also features unique coverage of the most interesting developments and updated techniques, such as image watermarking, digital steganography, document processing and classification, solar image processing and event classification, 3-D Euclidean distance transformation, shortest path planning, soft morphology, recursive morphology, regulated morphology, and sweep morphology. Additional topics include enhancement and segmentation techniques, active learning, feature extraction, neural networks, and fuzzy logic.

Featuring supplemental materials for instructors and students, Image Processing and Pattern Recognition is designed for undergraduate seniors and graduate students, engineering and scientific researchers, and professionals who work in signal processing, image processing, pattern recognition, information security, document processing, multimedia systems, and solar physics.