Fuzzy recognition of noncompact musical objects

Alfredo Cristobal Salas; Andrei Tchernykh

doi:10.1117/12.270397

27 March 1997 Fuzzy recognition of noncompact musical objects

Alfredo Cristobal Salas, Andrei Tchernykh

Proceedings Volume 3073, Optical Pattern Recognition VIII; (1997) https://doi.org/10.1117/12.270397
Event: AeroSense '97, 1997, Orlando, FL, United States

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.

Citation Download Citation

Alfredo Cristobal Salas and Andrei Tchernykh "Fuzzy recognition of noncompact musical objects", Proc. SPIE 3073, Optical Pattern Recognition VIII, (27 March 1997); https://doi.org/10.1117/12.270397

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