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Proceedings Paper

Line sketch extraction using the Hough transform
Author(s): Raashid Malik; Moon Won Choo
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Paper Abstract

Reliable schemes for line sketch extraction from gray scale images are investigated. It is often possible to recognize polyhedral objects in an image by capturing the linear features in the image and analyzing corner points. A line sketch is extracted from a gray scale image using the Hough transform (HT). The pixel points with their gradient directions and magnitudes are properly used for deciding the value of accumulation in Hough space. This leads to significant computational savings and robust results. The research presented in this report is concerned with utilizing HT and its derivatives to detect linear feature in images and constructing line sketches for higher level processing such as image representation, description and coding.

Paper Details

Date Published: 3 October 1995
PDF: 12 pages
Proc. SPIE 2588, Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling, (3 October 1995); doi: 10.1117/12.222712
Show Author Affiliations
Raashid Malik, Stevens Institute of Technology (United States)
Moon Won Choo, Stevens Institute of Technology (United States)


Published in SPIE Proceedings Vol. 2588:
Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling
David P. Casasent, Editor(s)

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