Hierarchical Image Segmentation By An Extended Mode Method And Detection Of Ellipses Using A Recursive Least-Squares Estimator

Tadashi Nagata; Kohich Ishibashi; Hirotoshi Tamura

doi:10.1117/12.939241

16 February 1984 Hierarchical Image Segmentation By An Extended Mode Method And Detection Of Ellipses Using A Recursive Least-Squares Estimator

Tadashi Nagata, Kohich Ishibashi, Hirotoshi Tamura

Author Affiliations +

Proceedings Volume 0449, Intelligent Robots: 3rd Intl Conf on Robot Vision and Sensory Controls; (1984) https://doi.org/10.1117/12.939241
Event: 1983 Cambridge Symposium, 1983, Cambridge, United States

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.

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Tadashi Nagata, Kohich Ishibashi, and Hirotoshi Tamura "Hierarchical Image Segmentation By An Extended Mode Method And Detection Of Ellipses Using A Recursive Least-Squares Estimator", Proc. SPIE 0449, Intelligent Robots: 3rd Intl Conf on Robot Vision and Sensory Controls, (16 February 1984); https://doi.org/10.1117/12.939241

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