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Proceedings Paper

Hierarchical Hough transform method with multiresolution cells
Author(s): Hiroshi Kamada
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Paper Abstract

This report proposes a new hierarchical Hough transform method with a multiresolution cell. The local Hough transform is applied to each cell constructed from the neighbors of each pixel of an image. The main idea is that cell size is controlled adaptively until the maximum peak value can be achieved. This is made possible by using a multiresolution image pyramid. All peak values of the local Hough transform are then integrated into the final Hough transform value. Using this method, precise and simultaneous line extraction is made possible from characters and symbols of various sizes and line widths. This method was applied to line extraction from hand-written characters and symbols. The first example is fine-to-coarse processing that is applied to characters with wide lines, and the second is coarse-to-fine processing that is applied to small symbols. Finally, this method is applied to extract strokes of characters by a pyramid linking methods.

Paper Details

Date Published: 19 May 1992
PDF: 9 pages
Proc. SPIE 1657, Image Processing Algorithms and Techniques III, (19 May 1992); doi: 10.1117/12.58346
Show Author Affiliations
Hiroshi Kamada, ATR Auditory and Visual Perception Research Labs. (Japan)

Published in SPIE Proceedings Vol. 1657:
Image Processing Algorithms and Techniques III
James R. Sullivan; Benjamin M. Dawson; Majid Rabbani, Editor(s)

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