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Handbook of Image Processing and Computer Vision

Volume 2: From Image to Pattern

  • Arcangelo Distante
  • Cosimo Distante
Book

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Arcangelo Distante, Cosimo Distante
    Pages 1-68
  3. Arcangelo Distante, Cosimo Distante
    Pages 69-147
  4. Arcangelo Distante, Cosimo Distante
    Pages 149-208
  5. Arcangelo Distante, Cosimo Distante
    Pages 209-269
  6. Arcangelo Distante, Cosimo Distante
    Pages 271-332
  7. Arcangelo Distante, Cosimo Distante
    Pages 333-424
  8. Back Matter
    Pages 425-432

About this book

Introduction

Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented within cover all aspects of the sensory subsystem required by an intelligent system to perceive the environment and act autonomously. Volume 2 (From Image to Pattern) examines image transforms, image restoration, and image segmentation.

Topics and features:

• Describes the fundamental processes in the field of artificial vision that enable the formation of digital images from light energy

• Covers light propagation, color perception, optical systems, and the analog-to-digital conversion of the signal

• Discusses the information recorded in a digital image, and the image processing algorithms that can improve the visual qualities of the image

• Reviews boundary extraction algorithms, key linear and geometric transformations, and techniques for image restoration

• Presents a selection of different image segmentation algorithms, and of widely-used algorithms for the automatic detection of points of interest

• Examines important algorithms for object recognition, texture analysis, 3D reconstruction, motion analysis, and camera calibration

• Provides an introduction to four significant types of neural network, namely RBF, SOM, Hopfield, and deep neural networks

This all-encompassing survey offers a complete reference for all students, researchers, and practitioners involved in developing intelligent machine vision systems. The work is also an invaluable resource for professionals within the IT/software and electronics industries involved in machine vision, imaging, and artificial intelligence.

Dr. Cosimo Distante is a Research Scientist in Computer Vision and Pattern Recognition in the Institute of Applied Sciences and Intelligent Systems (ISAI) at the Italian National Research Council (CNR). Dr. Arcangelo Distante is a researcher and the former Director of the Institute of Intelligent Systems for Automation (ISSIA) at the CNR. His research interests are in the fields of Computer Vision, Pattern Recognition, Machine Learning, and Neural Computation.

Keywords

Image Processing Computer Vision and Image Recognition Image Formation Radiometry Color Digital Imaging and Data Structures Image Representation Feature Extraction Filtering Linear Transforms Geometric Transformations Image Enhancement, Restoration and Denoising Image Segmentation Keypoint Detectors Neural Networks Convolutional Neural Networks 3D and Stereo Vision Reconstruction Texture, Shape and Motion Analysis Camera Calibration

Authors and affiliations

  1. 1.Institute of Applied Sciences and Intelligent SystemsConsiglio Nazionale delle RicercheLecceItaly
  2. 2.Institute of Applied Sciences and Intelligent SystemsConsiglio Nazionale delle RicercheLecceItaly

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