Digital Image Processing (4th Edition)

Description

For courses in Image Processing and Computer Vision.

Introduce your students to image processing with the industry’s most prized text

For 40 years, Image Processing has been the foundational text for the study of digital image processing. The book is suited for students at the college senior and first-year graduate level with prior background in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming. As in all earlier editions, the focus of this edition of the book is on fundamentals.

The 4th Edition, which celebrates the book’s 40th anniversary, is based on an extensive survey of faculty, students, and independent readers in 150 institutions from 30 countries. Their feedback led to expanded or new coverage of topics such as deep learning and deep neural networks, including convolutional neural nets, the scale-invariant feature transform (SIFT), maximally-stable extremal regions (MSERs), graph cuts, k-means clustering and superpixels, active contours (snakes and level sets), and exact histogram matching. Major improvements were made in reorganizing the material on image transforms into a more cohesive presentation, and in the discussion of spatial kernels and spatial filtering. Major revisions and additions were made to examples and homework exercises throughout the book.

Key Features

• Coverage of graph cuts and their application to segmentation.
• A discussion of superpixels and their use in region segmentation.
• 425 new images, 135 new drawings, 220 new exercises and 120 MATLAB projects.
• Two new chapters:
  • A chapter dealing with active contours for image segmentation, including snakes and level sets.
  • A chapter that brings together wavelets, several new transforms, and many of the image transforms that were scattered throughout the book.
• A complete update of the image pattern recognition chapter to incorporate new material on deep neural networks, backpropagation, deep learning, and especially, deep convolutional neural networks.
• Coverage of feature extraction, including the Scale Invariant Feature Transform (SIFT, maximally stable extremal regions (MSERs), and corner detection.
• Coverage of the fundamentals of spatial filtering, image transforms, and finite differences with a focus on edge detection.

Table of Contents

1. Chapter 1 Introduction
2. Chapter 2 Digital Image Fundamentals
3. Chapter 3 Intensity Transformations and Spatial Filtering
4. Chapter 4 Filtering in the Frequency Domain
5. Chapter 5 Image Restoration and Reconstruction
6. Chapter 6 Wavelet and Other Image Transforms
7. Chapter 7  Color Image Processing
8. Chapter 8 Image Compression and Watermarking
9. Chapter 9 Morphological Image Processing
10. Chapter 10 Image Segmentation I: Edge Detection,
11. Chapter 11 Image Segmentation II: Active Contours: Snakes and Level Sets
12. Chapter 12 Feature Extraction
13. Chapter 13 Image Pattern Classification

Authors Biography

Rafael C. Gonzalez received the B.S.E.E. degree from the University of Miami in 1965 and the M.E. and Ph.D. degrees in electrical engineering from the University of Florida, Gainesville, in 1967 and 1970, respectively. He joined the Electrical and Computer Engineering Department at University of Tennessee, Knoxville (UTK) in 1970, where he became Associate Professor in 1973, Professor in 1978, and Distinguished Service Professor in 1984.He is currently a Professor Emeritus at UTK.

Gonzalez is the founder of the Image & Pattern Analysis Laboratory and the Robotics & Computer Vision Laboratory at the University of Tennessee.

Richard E. Woods earned his B.S., M.S., and Ph.D. degrees in Electrical Engineering from the University of Tennessee, Knoxville. His professional experiences range from entrepreneurial to the more traditional academic, consulting; governmental, and industrial pursuits. Most recently, he founded MedData Interactive, a high technology company specializing in the development of hand-held computer systems for medical applications. He was also a founder and Vice President of Perceptics Corporation.