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2008
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An Incremental Hough Transform for Detecting Ellipses in Image Data Streams

9 years 1 months ago
An Incremental Hough Transform for Detecting Ellipses in Image Data Streams
In this paper, we present a purely incremental, scalable algorithm for the detection of elliptical shapes in images. Our method uses an incremental version of the Random Hough Transform (RHT) to compute the curve parameters from sampled image points and uses a densitybased robust stream clustering algorithm to discover the potential parameters from the Hough space. Finally we apply density and similarity tests to eliminate weak and redundant candidates. Being totally incremental, and not requiring the typically huge memory costs of Hough accumulator arrays or image pixels, our method reduces the number of computations performed and the memory used. The proposed method is tested on both synthetic and real images, including solar images captured by various instruments onboard NASA and ESA satellites.
Sofiane Sellah, Olfa Nasraoui
Added 31 May 2010
Updated 31 May 2010
Type Conference
Year 2008
Where ICTAI
Authors Sofiane Sellah, Olfa Nasraoui
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