Pattern Recognition Using Statistical Properties Of Sectors Of An Image

Dejan V. Pantelio; Zoran D. Janevski

doi:10.1117/12.950273

2 March 1989 Pattern Recognition Using Statistical Properties Of Sectors Of An Image

Dejan V. Pantelio, Zoran D. Janevski

Proceedings Volume 1027, Image Processing II; (1989) https://doi.org/10.1117/12.950273
Event: 1988 International Congress on Optical Science and Engineering, 1988, Hamburg, Germany

Abstract

We are proposing a new type of transformation that closely relates to Chord and Hough transform, and which can be very useful in recognition of binary images. In this method we are using lines of various positions and directions, which intersect the area of interest. Each line divides the image into two parts - sectors. Areas of the sectors are assigned to the line, and statistic of the sectors is calculated (for the set of lines). Calculations have shown that this new transformation is insensitive to noise (to a certain extent). Therefore, it can be used for noise insensitive pattern recognition.

Citation Download Citation

Dejan V. Pantelio and Zoran D. Janevski "Pattern Recognition Using Statistical Properties Of Sectors Of An Image", Proc. SPIE 1027, Image Processing II, (2 March 1989); https://doi.org/10.1117/12.950273

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