Fundamentals of Digital Image Processing
Fundamentals of Digital Image Processing is an introductory to intermediate level text on image processing science that uses the Matlab programming language to demonstrate some of the fundamental, key concepts in modern image processing and pattern recognition. The approach is primarily practical, and the book provides a framework within which the concepts can be understood through a series of well-chosen examples, exercises, and computer experiments drawn from science, medicine, and engineering.
The book is clearly divided into eleven distinct chapters and begins with a quick-start introduction to image processing to make later topics more accessible. Following chapters provide a more advanced discussion of topics involving more difficult concepts, with the final chapter focusing on the application of automated image classification (with Matlab examples).
Matlab is frequently used in the book as a tool for demonstrations, experiments, and problem solving because it is both well-suited for this role and widely available. Prior Matlab experience is not required, and those without Matlab access can still benefit from the independent presentation of topics and numerous examples.
- A companion website is available at www.wiley.com/go/solomon/fundamentals, which contains a Matlab primer, additional exercises, examples, instructor resources, and access to all files corresponding to the examples and exercises in the book.
- Numerous examples, graded exercises, and computer experiments are provided to assist both students and instructors.
Author: Chris Solomon and Stuart Gibson
Link to buy: https://www.amazon.com/gp/product/0470844736/
Ratings: 4.3 out of 5 stars (from 30 reviews)
Best Sellers Rank: #2,579,780 in Books
#641 in Computer Graphics
#2,392 in Physics (Books)
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