Efficient shape recognition for the detection of reusable material in a waste processing plant

Oliver Sidla; Ernst Wilding

doi:10.1117/12.361018

10 September 1999 Efficient shape recognition for the detection of reusable material in a waste processing plant

Oliver Sidla, Ernst Wilding

Proceedings Volume 3827, Diagnostic Imaging Technologies and Industrial Applications; (1999) https://doi.org/10.1117/12.361018
Event: Industrial Lasers and Inspection (EUROPTO Series), 1999, Munich, Germany

Abstract

A fast and efficient method for the detection and recognition of objects which have similar, but not identical, contours is presented. Arbitrary shapes are characterized by interpreting their boundary points as complex numbers and generating spectra from those representations using the Fast Fourier Transform. Suitable normalization of those spectral components leads to a translation, scale and rotation invariant description of each shape. A similarity measure which is based on a simple distance calculation of the spectral magnitude components is used to classify each new shape. By selecting a specific number of spectral components (lower frequencies describe coarse obj ect details, higher frequencies explain fine details) the whole recognition process may be easily tailored to specific needs of recognition accuracy, performance and allowed shape deviation. Besides the compactness of object description, our proposed algorithm for shape recognition can be very efficiently implemented and executed in real-time on standard PC hardware

Citation Download Citation

Oliver Sidla and Ernst Wilding "Efficient shape recognition for the detection of reusable material in a waste processing plant", Proc. SPIE 3827, Diagnostic Imaging Technologies and Industrial Applications, (10 September 1999); https://doi.org/10.1117/12.361018

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