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基于遗传算法的小波神经网络的图像特征提取的探讨
引用本文:初耀军. 基于遗传算法的小波神经网络的图像特征提取的探讨[J]. 数字社区&智能家居, 2009, 0(21)
作者姓名:初耀军
作者单位:南京信息职业技术学院;
摘    要:该文利用单层有限神经元的遗传算法和小波神经网络相结合,以小波网络的速度得到提高;同时注意到K-L的降维、压缩等先进性,遗传算法的鲁棒性,进而将遗传算法、小波神经网络、图像特征提取三者有机结合,促使实时系统能够更快速提取图像特征,同时对图像进行小波压缩和K-L压缩,使压缩率更高。

关 键 词:遗传算法  小波神经网络  图像特征提取  K-L变换  

The Discussion of Image Feature Extraction Based on Genetic Algorithm of Wavelet Neural Network
CHU Yao-jun. The Discussion of Image Feature Extraction Based on Genetic Algorithm of Wavelet Neural Network[J]. Digital Community & Smart Home, 2009, 0(21)
Authors:CHU Yao-jun
Affiliation:Nanjing Colloge of Information Technology;Nanjing 210046;China
Abstract:In this paper, we will combine with single-layer neurons of the genetic algorithm and wavelet neural network, such that the speed of wavelet network is improved. We note that the K-L dimensionality reduction, compression and other advanced, robust genetic algorithms. We will combination with genetic algorithm, wavelet neural networks and image feature extraction, make real-time system to be able to extract image features more quickly, at the same time wavelet image compression and KL compression for compres...
Keywords:genetic algorithm  wavelet neural network  image feature extraction  K-L transform  
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