Hierarchical Hough transform method with multiresolution cells

Hiroshi Kamada

doi:10.1117/12.58346

19 May 1992 Hierarchical Hough transform method with multiresolution cells

Hiroshi Kamada

Proceedings Volume 1657, Image Processing Algorithms and Techniques III; (1992) https://doi.org/10.1117/12.58346
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States

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.

Citation Download Citation

Hiroshi Kamada "Hierarchical Hough transform method with multiresolution cells", Proc. SPIE 1657, Image Processing Algorithms and Techniques III, (19 May 1992); https://doi.org/10.1117/12.58346

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KEYWORDS

Image processing

Hough transforms

Image segmentation

Image resolution

Convolution

Feature extraction

Denoising

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