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Proceedings Paper

Improvement In Feature Interpretation By Means Of Polar Coding
Author(s): Vojislav Divljakovio; BoZidar Vojnovie; Davor Tornic
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Paper Abstract

The paper presents improvement achievable in pattern recognition systems based on polar coding of images. The idea of polar coding of images is not a new one. Existing methods can be improved if, instead of radius and angle as the representatives of image boundary, other features are extracted, such as a histogram representing concentric luminous intensity of the image. The histogram is formed in such a way that it shows luminous intensity of concentric rings having center in template's centroid. The number of pixels per ring increases with growing radius and it is the greatest for outmost diameter. Therefore, integration of luminous information per ring must be normalized in order to form a histogram representation of polar image. Binary images are analyzed and generalization for gray scale images is given.

Paper Details

Date Published: 2 March 1989
PDF: 6 pages
Proc. SPIE 1027, Image Processing II, (2 March 1989); doi: 10.1117/12.950280
Show Author Affiliations
Vojislav Divljakovio, Ruder Bogkovie Institute (Yugoslavia)
BoZidar Vojnovie, Ruder Bogkovie Institute (Yugoslavia)
Davor Tornic, Ruder Bogkovie Institute (Yugoslavia)


Published in SPIE Proceedings Vol. 1027:
Image Processing II
Peter J.S. Hutzler; Andre J. Oosterlinck, Editor(s)

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