An object recognition method based on fuzzy theory and BP networks

Chuan Wu; Ming Zhu; Dong Yang

doi:10.1117/12.668321

20 January 2006 An object recognition method based on fuzzy theory and BP networks

Chuan Wu, Ming Zhu, Dong Yang

Proceedings Volume 6027, ICO20: Optical Information Processing; 602738 (2006) https://doi.org/10.1117/12.668321
Event: ICO20:Optical Devices and Instruments, 2005, Changchun, China

Abstract

It is difficult to choose eigenvectors when neural network recognizes object. It is possible that the different object eigenvectors is similar or the same object eigenvectors is different under scaling, shifting, rotation if eigenvectors can not be chosen appropriately. In order to solve this problem, the image is edged, the membership function is reconstructed and a new threshold segmentation method based on fuzzy theory is proposed to get the binary image. Moment invariant of binary image is extracted and normalized. Some time moment invariant is too small to calculate effectively so logarithm of moment invariant is taken as input eigenvectors of BP network. The experimental results demonstrate that the proposed approach could recognize the object effectively, correctly and quickly.

Citation Download Citation

Chuan Wu, Ming Zhu, and Dong Yang "An object recognition method based on fuzzy theory and BP networks", Proc. SPIE 6027, ICO20: Optical Information Processing, 602738 (20 January 2006); https://doi.org/10.1117/12.668321

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