2D and 3D image analysis by moments (pdf)

Description

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.