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Digital Image Processing 4th Edition by Rafael C Gonzalez, Richard E Woods ISBN 9781292223049 1292223049

Name: Digital Image Processing 4th Edition by Rafael C Gonzalez, Richard E Woods ISBN 9781292223049 1292223049
SKU: EB-46533004
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Digital Image Processing (4th edition, Global edition) Rafael C. Gonzalez Digital Instant Download

Author(s): Rafael C. Gonzalez, Richard E. Woods

ISBN(s): 9781292223049, 1292223049

Edition: 4th

File Details: PDF, 38.29 MB

Year: 2018

Language: English

SKU: EB-46533004 Category: Computers - Computer Graphics & Design Tags: Rafael C. Gonzalez, Richard E. Woods

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Digital Image Processing 4th Edition by Rafael C Gonzalez, Richard E Woods – Ebook PDF Instant Download/Delivery: 9781292223049 ,1292223049
Full download Digital Image Processing 4th Edition after payment

Product details:
ISBN 10: 1292223049
ISBN 13: 9781292223049
Author: Rafael C Gonzalez, Richard E Woods

The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you’ll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. For courses in Image Processing and Computer Vision. For 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 is based on an extensive survey of faculty, students, and independent readers in 5 institutions from 3 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), MERS, graph cuts, k-means clustering and superpiels, active contours (snakes and level sets), and each histogram matching. Major improvements were made in reorganising 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.

Digital Image Processing 4th Edition Table of contents:

Chapter 1 – Digital Image Fundamentals
2.1. The Image Formation Model
2.2. Basic Steps in Digital Image Processing
2.3. Elements of Visual Perception
2.4. Image Sampling and Quantization
Chapter 2 – Image Enhancement in the Spatial Domain
3.1. Point Processing
3.2. Histogram Processing
3.3. Spatial Filtering
3.4. Enhancement Techniques
Chapter 3 – Image Enhancement in the Frequency Domain
4.1. Introduction to the Fourier Transform
4.2. Frequency Domain Filtering
4.3. Homomorphic Filtering
4.4. Image Restoration
Chapter 4 – Color Image Processing
5.1. Color Models
5.2. Color Transformation
5.3. Color Image Enhancement
5.4. Color Image Segmentation
Chapter 5 – Image Restoration
6.1. The Degradation Model
6.2. Linear and Nonlinear Image Restoration
6.3. Noise Models
6.4. Restoration Techniques
Chapter 6 – Wavelets and Multiresolution Processing
7.1. Introduction to Wavelets
7.2. Discrete Wavelet Transform
7.3. Image Compression Using Wavelets
7.4. Multiresolution Processing
Chapter 7 – Image Compression
8.1. Fundamentals of Data Compression
8.2. Lossless and Lossy Compression
8.3. JPEG Compression
8.4. MPEG Compression
Chapter 8 – Morphological Image Processing
9.1. Basic Morphological Operations
9.2. Structuring Elements
9.3. Dilation and Erosion
9.4. Opening and Closing
9.5. Morphological Filtering
Chapter 9 – Image Segmentation
10.1. Point, Line, and Edge Detection
10.2. Thresholding
10.3. Region-Based Segmentation
10.4. Clustering Methods
10.5. Watershed Segmentation
Chapter 10 – Representation and Description
11.1. Representation of Shapes
11.2. Boundary and Region Representation
11.3. Shape Descriptors
11.4. Object Recognition
Chapter 11 – Object Recognition
12.1. Pattern Recognition Fundamentals
12.2. Classification Methods
12.3. Object Detection Techniques
12.4. Applications of Object Recognition
Chapter 12 – Image Registration
13.1. Introduction to Image Registration
13.2. Geometric Transformations
13.3. Image Alignment Techniques
13.4. Applications of Image Registration
Chapter 13 – Image Fusion
14.1. The Concept of Image Fusion
14.2. Fusion Techniques
14.3. Applications of Image Fusion
Chapter 14 – Digital Image Processing Systems and Applications
15.1. Image Processing Systems Architecture
15.2. Image Processing Software
15.3. Applications of Image Processing: Medical Imaging, Remote Sensing, and Robotics

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