Title :
The Application of Wavelet Invariant Moments to Image Recognition
Author :
Yang, Rui-hong ; Pan, Quan ; Cheng, Yong-mei
Author_Institution :
Coll. of Autom., Northwestern Polytech. Univ., Xi´´an
Abstract :
In this paper, wavelets invariant moments are presented based on general moment features and are applied to the recognition of airplane images. The experiments prove that wavelet invariant moments are superior to Hu´s invariant moments and Zernike invariant moments on recognition efficiency
Keywords :
aircraft; backpropagation; image recognition; neural nets; wavelet transforms; BP neural network; airplane image recognition; wavelet invariant moments; Airplanes; Cybernetics; Educational institutions; Feature extraction; Fourier transforms; Image recognition; Machine learning; Neural networks; Noise shaping; Shape; Wavelet analysis; Wavelet transforms; BP neural network; Hu´s invariant moments; Zernike invariant moments; divergence; feature selection; sequential forward selection; wavelet invariant moments;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258434
