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Proceedings Paper

Analytical feature filter used in an analytically preprocessed picture image
Author(s): Chialun John Hu
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Paper Abstract

We have developed a very efficient image preprocessing scheme that allows the main features (the boundary lines and the corner points) of some size-selected objects in a colored picture be singled out and be put in a much smaller bmp file. Then a recently corrected preprocessing program written in Visual Basic 6 can be applied directly to this file. We can then obtain a very compact analog data set to describe all the boundary lines contained in this file. This set of analog data can be used independently and efficiently to reconstruct all the main features of the selected objects. Before the reconstruction, we can also use an analytical filter to select some particular features according to, for example, the length of the boundary lines, the curvature of the boundary lines, the starting and ending points of the boundary lines, etc. These analytically filtered lines or curves can then be re-displayed in a different window and be used in some special-purpose object identification system that may accurately identify certain particular object from a very complex noisy background. Preliminary live experiments will be demonstrated.

Paper Details

Date Published: 13 April 2009
PDF: 9 pages
Proc. SPIE 7340, Optical Pattern Recognition XX, 73400M (13 April 2009); doi: 10.1117/12.818017
Show Author Affiliations
Chialun John Hu, Univ. of Colorado at Boulder (United States)


Published in SPIE Proceedings Vol. 7340:
Optical Pattern Recognition XX
David P. Casasent; Tien-Hsin Chao, Editor(s)

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