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Proceedings Paper

Fuzzy recognition of noncompact musical objects
Author(s): Alfredo Cristobal Salas; Andrei Tchernykh
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Paper Abstract

This article describes and compares some techniques to extract attributes from black and white images which contain musical objects. The inertia moment, the central moments and the wavelet transform methods are used to describe the images. Two supervised neural networks are applied to classify the images: backpropagation and fuzzy backpropagation. The results are compared.

Paper Details

Date Published: 27 March 1997
PDF: 11 pages
Proc. SPIE 3073, Optical Pattern Recognition VIII, (27 March 1997); doi: 10.1117/12.270397
Show Author Affiliations
Alfredo Cristobal Salas, CICESE Research Ctr. (Mexico)
Andrei Tchernykh, CICESE Research Ctr. (Mexico)


Published in SPIE Proceedings Vol. 3073:
Optical Pattern Recognition VIII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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