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Proceedings Paper

Image Analysis Using Polarized Hough Transform And Edge Enhancer
Author(s): Hassan Mostafavi; Randy Ollenburger
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Paper Abstract

A new image analysis technique is presented in which a modified version of the Hough transform is employed. This transform algorithm operates on edge images in which the polarity of the edge, relative to a reference direction in the image plane, is preserved. The edge polarity is represented by a positive or negative sign resulting from the differentiation operation used in the edge enhancement algorithms. The new Hough transform creates a positive or a negative peak for each edge depending on the polarity of the linear edge features. The polarity information plays a major role in forming or testing a scene hypothesis directly from the Hough transform output. In many applications simple logic performs the equivalent task of several complicated testing procedures. These procedures are normally required after ordinary Hough transformation for the acceptance or rejection of a scene hypothesis. An example is presented in which the objective is to detect a generic river and bridge scene from a range-azimuth image created by an active millimeter wave sensor. In this example, the new Hough transform succeeds in detecting and interpreting the scene, both when it consists of the river and bridge, or the river alone. Also presented as a part of the overall algorithm, are the results of a new edge detection algorithm that employs median filtering prior to edge enhancement, and locally adaptive thresholding in edge detection. Both of these techniques have significantly increased the robustness of the edge detection algorithm, which in turn, has improved the overall performance of the scene analysis algorithm.

Paper Details

Date Published: 8 March 1982
PDF: 9 pages
Proc. SPIE 0302, Infrared Technology for Target Detection and Classification, (8 March 1982); doi: 10.1117/12.932630
Show Author Affiliations
Hassan Mostafavi, Systems Control, Inc. (United States)
Randy Ollenburger, Systems Control, Inc. (United States)


Published in SPIE Proceedings Vol. 0302:
Infrared Technology for Target Detection and Classification
Pat M. Narendra, Editor(s)

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