Paper
13 April 2009 Analytical feature filter used in an analytically preprocessed picture image
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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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chialun John Hu "Analytical feature filter used in an analytically preprocessed picture image", Proc. SPIE 7340, Optical Pattern Recognition XX, 73400M (13 April 2009); https://doi.org/10.1117/12.818017
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KEYWORDS
Image analysis

Analog electronics

Image filtering

Image processing

Reconstruction algorithms

Binary data

Filtering (signal processing)

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