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Statistical Image Processing Techniques for Noisy Images

An Application-Oriented Approach

  • Book
  • © 2004

Overview

Authors:
  1. François Goudail

    1. Fresnel Institute, ENSPM, Marseille, France

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  2. Philippe Réfrégier

    1. Fresnel Institute, ENSPM, Marseille, France

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    You can also search for this author in PubMed   Google Scholar

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Introduction

    • François Goudail, Philippe Réfrégier
    Pages 1-7

  3. Linear Filters: Heuristic Theory and Stability

    • François Goudail, Philippe Réfrégier
    Pages 9-48

  4. Statistical Correlation Techniques

    • François Goudail, Philippe Réfrégier
    Pages 49-87

  5. Applications of Statistical Correlation Techniques to Different Physical Noises

    • François Goudail, Philippe Réfrégier
    Pages 89-128

  6. Statistical Snake-Based Segmentation Adapted to Different Physical Noises

    • François Goudail, Philippe Réfrégier
    Pages 129-168

  7. Some Developments of the Polygonal Statistical Snake and Their Applications

    • François Goudail, Philippe Réfrégier
    Pages 169-195

  8. An Example of Application: Processing of Coherent Polarimetric Images

    • François Goudail, Philippe Réfrégier
    Pages 197-239

  9. Back Matter

    Pages 241-254
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Keywords

About this book

Statistical Processing Techniques for Noisy Images presents a statistical framework to design algorithms for target detection, tracking, segmentation and classification (identification). Its main goal is to provide the reader with efficient tools for developing algorithms that solve his/her own image processing applications. In particular, such topics as hypothesis test-based detection, fast active contour segmentation and algorithm design for non-conventional imaging systems are comprehensively treated, from theoretical foundations to practical implementations. With a large number of illustrations and practical examples, this book serves as an excellent textbook or reference book for senior or graduate level courses on statistical signal/image processing, as well as a reference for researchers in related fields.

Authors and Affiliations

  • Fresnel Institute, ENSPM, Marseille, France

    François Goudail, Philippe Réfrégier

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