Abstract

The generalized Hough transform is a well-established technique for detecting complex shapes in images containing noisy or missing data. We present an efficient optical implementation of this transform using an electrical lens with variable focal length and a rotating pupil mask matching the pattern to be found. The proposed setup works under fully (i.e., both spatially and temporally) incoherent illumination and can handle orientation changes or scale variations in the pattern. Validation experiments showing its real-time application are presented.

© 2015 Optical Society of America

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Supplementary Material (1)

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» Visualization 1: AVI (1319 KB)      real-time demonstration of scale variation in GHT

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