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Proceedings Paper

Study Of A Class Of Invariant Recognition For Machine Vision
Author(s): C. H. Chen; Rong-Hou Wu
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Paper Abstract

This paper is concerned with the use of circular harmonic expansion for rotation invariant recognition, Mellin transform for scale invariant recognition and the combination of circular harmonic expansion with Mellin transform for rotation & scale invariant recognition. Distance measures between the reference image, or vector reference, and the test image are defined for comparison with a threshold for object recognition. In addition to providing the desired mathematical properties, the class of invariant recognition algorithms examined successfully detected the objects (targets) under different rotations and scale changes.

Paper Details

Date Published: 20 November 1986
PDF: 6 pages
Proc. SPIE 0707, Visual Communications and Image Processing, (20 November 1986); doi: 10.1117/12.937244
Show Author Affiliations
C. H. Chen, Southeastern Massachusetts University (United States)
Rong-Hou Wu, Southeastern Massachusetts University (United States)


Published in SPIE Proceedings Vol. 0707:
Visual Communications and Image Processing
T. Russell Hsing, Editor(s)

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