Digital Image Processing

by Rafael C. Gonzalez, Richard E. Woods

Digital Image Processing Using MATLAB is the first book to offer a balanced treatment of image processing fundamentals and the software principles used in their implementation. The book integrates material from the leading text, Digital Image Processing by Gonzalez and Woods, and the Image Processing Toolbox from The MathWorks, Inc., a leader in scientific computing. The Image Processing Toolbox provides a stable, well-supported software environment for addressing a broad range of applications in digital image processing. A unique feature of the book is its emphasis on showing how to enhance those tools by developing new code. This is important in image processing, an area that normally requires extensive experimental work in order to arrive at acceptable application solutions. Some Highlights: (1) This new edition is an extensive upgrade of the book. (2) Over 120 new MATLAB image processing functions are developed, a 40 % increase over existing functions in the Image Processing Toolbox. (3) Algorithms and MATLAB functions in the mainstream of digital image processing are discussed and implemented, including: Intensity transformations; spatial filtering; fuzzy image processing; filtering in the frequency domain; image restoration and reconstruction; geometric transformations and image registration; color image processing; wavelets; image and video compression; morphology; image segmentation; image representation and description; and object recognition. (4) In addition to a major revision of the topics from the first edition, features in this edition include new coverage of: The Radon transform; image processing functions based on function-generating functions (function factories); geometric transformations; image registration; color profiles and device-independent color conversions; functions for video compression; adaptive thresholding algorithms; new image features, including minimum-perimeter polygons and local (corner) features.

Genres: Computer Science, Textbooks, Engineering, Reference, Science, Nonfiction, Academic

976 pages, Paperback

First published January 1, 1977

Reviews

[Darren · Rating 1 out of 5]

This book was designed specifically to be used in advanced computer imaging classes, and taught by a professor (as in only a professor that has worked for years on the material can translate some of the text).

The first 3 chapters are well written and a self-starter (such as myself) can clearly understand the concepts and the application of the material given.

After chapter 3 (4+) this book becomes a stinking pile of shit. The problem lies in the ability to explain the transition from image domain to frequency domain through usage of the Fourier (four-ee-eh) series (specifically DFT/FFT). Using the Fourier series is the MOST important aspect of the book, but the authors do such a terrible job of showing application of the enormous amount of math presented that one is left scratching their head.

I can say (after spending money and time on the book), that if you are a self-learner then steer clear of this book until you find an internet site somewhere that explains Fourier series and application of both DFT/FFT. Then this book might be a good reference.

[Pradit Pinyopasakul · Rating 3 out of 5]

I read this book and many other books related to computer graphics and digital image processing during 1993-1994 as references for my master's thesis.

[Fariba Rasouli · Rating 4 out of 5]

Very good reference for digital image processing

[Michael · Rating 5 out of 5]

Really good reference AND really good explanations as to WHY which algorithms are used with which applications.

[Arshpreet Kaur]

g

[Farhad Da · Rating 4 out of 5]

This book offers a good understanding of the foundations of digital image processing and provides enough mathematics for learning concepts behind different techniques and algorithms.

A good thing about this book is that it uses a lot of figures and examples which makes reading easy.

Contents have good orders so you will be completely ready when you jump to the next topic.

It usually after explaining a subject, refers to new techniques that are used in image processing, so you gain good sight about new and efficient methods.

I used this book when I had digital image processing course and I think it's not a good idea to take this book for self learning unless you have some previous knowledge.

I had some problems with chapter 4 and unlike other parts, I read it twice to catch all subjects. It's hard to explain Fourier's transform and image in the frequency domain in one chapter but authors did it but the rest of the book is written fluently.

[Chad · Rating 5 out of 5]

A really great introduction to image processing and analysis. The majority of the data I collect in in my graduate program are images and videos. I was using some programs based in ImageJ, but without a better understanding of the theory and method behind image analysis is like walking in the dark.

The textbook comes with a useful toolbox of MatLab functions. I’m more of a Python guy myself, but hey. It’s easy to go back and forth. I was most interested in segmentation methods when I started, and it does a great job of explaining these in the later chapters of the book.

As expected, the material in here requires a good background in matrix math, so be prepared.

[Gabriel Santos · Rating 5 out of 5]

Advanced book on digital image processing. If you are serious about understanding how to process digital images this is a must read book.

Be aware that it is not an extremely easy reading material and it will require dedication and commitment.

[Eric Yang · Rating 5 out of 5]

Excellent! Very clearly written.

[Samars · Rating 5 out of 5]

Fantastic.

[Aisha Saman Khan · Rating 5 out of 5]

Its a bible for image processing. *period*

[Skaisys Admin · Rating 4 out of 5]

The mathematics is not rigorous, and given in a too factual way....but was a good read definitely...made an app named upix(currently at beta in PlayStore), all thanks to this book!

[Amr Jamil · Rating 5 out of 5]

This is one of the reference for one university subject. These books I have given them away for passing knowledge, to whomever needed them.

[Iman Ranjbar · Rating 3 out of 5]

It's a good reference for starting image processing but focuses on math more than application....

[Leonardo]

Lo recomienda Carlos Selmo como referencia clásica al tema de Computer Vision

[Darrell Ulm · Rating 4 out of 5]

A classic.

[Gee]

mmm

[Chen Kun · Rating 3 out of 5]

The content and structure are very good. Some parts of the book need more clarifications. FFT and Wavelet transformation are not for DIP beginners and require some knowledge from DSP. A good book overall.

[Khalid Essam · Rating 4 out of 5]

Not recommended for math newbies, too much mathematical info that needs external references, some points are not explained well, gives overall ideas about image processing and discrete digital signal processing basics.

[G]

concepts in DIP

[Ehsan Salehi · Rating 4 out of 5]

کتاب مرجع جهت اطلاعات پیشرفته در باره پردازش تصویر در متلب

[從從 Xialulee · Rating 5 out of 5]

An interesting book.

[Dito · Rating 3 out of 5]

great books, I never learn about Digital Image Processing before when my lecturer proposed us to read this book. It give me a good basic about Digital Image Processing :) Really help.

[Teera]

the best

[hend · Rating 4 out of 5]

very useful reference for DIP, but not for the beginners .

[Mohammed · Rating 5 out of 5]

great book7

[Ayesha]

i want to read

[Hazem Saleh · Rating 5 out of 5]

A must-have guide for all CS students.

[Lex Javier · Rating 4 out of 5]

The textbook of my university image processing elective. It was the most fun CS course I ever took. I slept with photocopies of this textbook on my bed. We were inseparable!

[Adil Raja · Rating 5 out of 5]

Excellent book. This is specially good for the maths shy. Its the most lucid book on the subject, yet quite through and comprehensive.