摘要
提出一种基于快速 G小波变换图像压缩原理对人像图像进行特征抽取的方法 .用此方法抽取的人像特征在前向神经网络的学习训练和识别中取得了较好的效果 .
In this paper, a method of feature extraction from images is presented based on the principle of the image compression of fast G wavelet transformation. Good results were obtained when the extracted image features were used in the training of feed forward neural networks and the identification.
出处
《吉林大学自然科学学报》
CAS
CSCD
2000年第2期37-40,共4页
Acta Scientiarum Naturalium Universitatis Jilinensis
基金
国家自然科学基金!(批准号 :19872 0 2 7)
国家教育部符号计算与知识工程开放实验室基金
关键词
G小波变换
特征抽取
图像压缩
人像识别
G wavelet transformation
G wavelet basic function
feature extraction
neural network
genetic algorithm
