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Orientation estimation of industrial parts for automated inspection

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1 Author(s)
Chandra, D.V.S. ; Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA

Orientation estimation is an essential step in many machine vision problems. A variety of inspection tasks require the coordinate system of an object model to be aligned with the coordinate system of a set of observations before the actual inspection judgements can be made. In this paper, a procedure is presented to estimate the object's orientation using spectral energy distribution in the Fourier domain. The performance of this technique is determined by conducting simulation experiments on a set of images containing industrial parts under varying conditions of noise

Published in:

Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on

Date of Conference:

16-18 Aug 1993