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Digital Image Processing

Digital Image Processing

Author(s):
  • Rafael C. Gonzalez
  • Richard E. Woods
    • Author: Rafael C. Gonzalez
    • ISBN:9789353062989
    • 10 Digit ISBN:9353062985
    • Price:Rs. 1010.00
    • Pages:1026
    • Imprint:Pearson Education
    • Binding:Paperback
    • Status:Available


    Ratings:

    The fourth edition of , which celebrates the book's 40th anniversary, continues its cutting-edge focus on contemporary developments in all mainstream areas of image processing. It focuses on material that is

    fundamental and has a broad scope of application.

     

    Table of Content

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

    Salient Features

    "1. Coverage of graph cuts and their application to segmentation.
    2. A discussion of superpixels and their use in region segmentation.
    3. 425 new images, 135 new drawings, 220 new exercises and 120 MATLAB projects.
    4. Two new chapters:
        a. A chapter dealing with active contours for image segmentation, including snakes and level sets.
        b. A chapter that brings together wavelets, several new transforms, and many of the image transforms that were scattered throughout the book.
    5. 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.
    6. Coverage of feature extraction, including the Scale Invariant Feature Transform (SIFT, maximally stable extremal regions (MSERs), and corner detection.
    7. Coverage of the fundamentals of spatial filtering, image transforms, and finite differences with a focus on edge detection."