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This text reviews the field of digital image processing from the different perspectives offered by the separate domains of signal processing and pattern recognition. The book describes a rich array of applications, representing the latest trends in industry and academic research. To inspire further interest in the field, a selection of worked-out numerical problems is also included in the text. The content is presented in an accessible manner, examining each topic in depth without assuming any prior knowledge from the reader, and providing additional background material in the appendices. Features: covers image enhancement techniques in the spatial domain, the frequency domain, and the wavelet domain; reviews compression methods and formats for encoding images; discusses morphology-based image processing; investigates the modeling of object recognition in the human visual system; provides supplementary material, including MATLAB and C++ code, and interactive GUI-based modules, at an associated website.
- Sales Rank: #3831957 in Books
- Published on: 2015-04-23
- Original language: English
- Number of items: 1
- Dimensions: 9.21" h x 1.00" w x 6.14" l, .0 pounds
- Binding: Hardcover
- 416 pages
From the Back Cover
This unique text/reference reviews the field of digital image processing from the different perspectives offered by the separate domains of signal processing and pattern recognition.
The book describes a rich array of applications, representing the latest trends in industry and academic research. To inspire further interest in the field, a selection of elegant, worked-out numerical problems are also included in the text. The content is presented in an accessible manner, examining each topic in depth without assuming any prior knowledge from the reader, and providing additional background material in the appendices.
Topics and features:
- Introduces the processes of sampling, quantization and encoding of images, as well as the operations of convolution and correlation, and the basic geometric transformations
- Covers image enhancement techniques in the spatial domain, the frequency domain, and the wavelet domain
- Describes the basics of the physics of light and color, and of the psycho-visual color system
- Reviews compression methods and formats for encoding images
- Discusses morphology-based image processing, which bridges signal processing and pattern recognition perspectives
- Examines state-of-the-art applications of techniques for feature extraction, selection, and reduction
- Investigates the modeling of object recognition in the human visual system for computer vision
- Provides electronic supplementary material, including MATLAB and C++ code, interactive GUI-based modules, and teaching slides at an associated website
Appealing to a broad audience of students, tutors, researchers and professionals, this work offers an indispensable guide to image processing, pattern recognition and computer vision. The coverage draws upon the author’s extensive experience in academic teaching and training, government R&D, and private industry.
About the Author
Apurba Das is a Technical Specialist in the Image Processing Lab at HCL Technologies, Chennai, India. He has previously served as a Scientist in the Advanced Image Processing Lab at the Centre for Development of Advanced Computing, a R&D organization of the Indian Government Ministry of Communications and Information Technology. His other Springer publications include the books Signal Conditioning: An Introduction to Continuous Wave Communication and Signal Processing and Digital Communication: Principles and System Modelling.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Very nice book.
By Amazon Customer
Very nice book I have found so far. Clear explanation of concepts, easy to pick up even if you are a new to image processing. I strongly recommend this book for academics and image processing professionals.
1 of 3 people found the following review helpful.
SPRINGER WILL NOT LET YOU OBTAIN CODES
By T. Hayes
This has been a disaster. While the book claims to have codes available for download, they are only available to instructors and/or students of a registered instructor for the course. Well, I'm not a student anymore. I have been back and forth with Springer on this for sometime now and they still do not seem to understand this.
Do not buy unless they sort this out. A lot of money for a text that doesn't provide the codes they advertise especially in this digital day and age when virtually every other publisher does.
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