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Proceedings Paper

Hierarchical Image Segmentation By An Extended Mode Method And Detection Of Ellipses Using A Recursive Least-Squares Estimator
Author(s): Tadashi Nagata; Kohich Ishibashi; Hirotoshi Tamura
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Paper Abstract

A method for segmentation of images is introduced, and a technique for detecting ellipses in the regions is discussed. The former is based on iteratively dividing a histogram into some modes in taking account of a measure for adjacent separability. The latter consists of classifying behavior of parameters in a quadratic equation obtained by using a recursive least-squares estimator. Some experimental results for applying these methods to machine parts are shown.

Paper Details

Date Published: 16 February 1984
PDF: 7 pages
Proc. SPIE 0449, Intelligent Robots: 3rd Intl Conf on Robot Vision and Sensory Controls, (16 February 1984); doi: 10.1117/12.939241
Show Author Affiliations
Tadashi Nagata, Kyushu University (Japan)
Kohich Ishibashi, Kyushu University (Japan)
Hirotoshi Tamura, Kyushu University (Japan)


Published in SPIE Proceedings Vol. 0449:
Intelligent Robots: 3rd Intl Conf on Robot Vision and Sensory Controls
David P. Casasent; Ernest L. Hall, Editor(s)

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