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2D and 3D Image Analysis by Moments (Hardcover) (Jan Flusser & Tomas Suk & Barbara Zitova)

2D and 3D Image Analysis by Moments (Hardcover) (Jan Flusser & Tomas Suk & Barbara Zitova) - image 1 of 1

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2D and 3D Image Analysis by Moments

Jan Flusser, Tomáš Suk, Barbara Zitová

Institute of Information Theory and Automation, Czech Academy of Sciences, Czech Republic


Presents recent significant and rapid development in the field of 2D and 3D image analysis



2D and 3D Image Analysis by Moments, is a unique compendium of moment-based image analysis which includes traditional methods and also reflects the latest development of the field.


The book presents a survey of 2D and 3D moment invariants with respect to similarity and affine spatial transformations and to image blurring and smoothing by various filters. The book comprehensively describes the mathematical background and theorems about the invariants but a large part is also devoted to practical usage of moments. Applications from various fields of computer vision, remote sensing, medical imaging, image retrieval, watermarking, and forensic analysis are demonstrated. Attention is also paid to efficient algorithms of moment computation.



Key features:


  • Presents a systematic overview of moment-based features used in 2D and 3D image analysis.
  • Demonstrates invariant properties of moments with respect to various spatial and intensity transformations.
  • Reviews and compares several orthogonal polynomials and respective moments.
  • Describes efficient numerical algorithms for moment computation.
  • It is a "classroom ready" textbook with a self-contained introduction to classifier design.
  • The accompanying website contains around 300 lecture slides, Matlab codes, complete lists of the invariants, test images, and other supplementary material.


2D and 3D Image Analysis by Moments, is ideal for mathematicians, computer scientists,   engineers, software developers, and Ph.D students involved in image analysis and recognition. Due to the addition of two introductory chapters on classifier design, the book may also serve as a self-contained textbook for graduate university courses on object recognition.

Number of Pages: 529
Genre: Technology
Format: Hardcover
Publisher: John Wiley & Sons Inc
Author: Jan Flusser & Tomas Suk & Barbara Zitova
Language: English
Street Date: February 28, 2017
TCIN: 51562507
UPC: 9781119039358
Item Number (DPCI): 248-25-9227
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