摘要
为解决待识别目标的特征抽取问题,提出了一种脉冲耦合神经网络结合形状信息的图像混合特征抽取方法。该方法利用脉冲耦合神经网络将图像空域信号转化为时域信号的特性,结合物体形状信息,对图像的灰度和形状进行了统一描述。实验结果证明,该方法在一定程度上对物体的形变、平移、缩放不敏感,对目标识别系统是一种很好的特征抽取方法。
To identify the target for solving the problem of feature extraction,a pulse coupled neural network combined with shape image mixed feature extraction methods is presented. This method using pulse coupled neural network,airspace signals are converted to image signal characteristics,combining the object shape of the image is greyscale information,the unity and shape description,the experimental results prove that the method of object in a certain extent of deformation,translation,zoom not sensitive to the target recognition system is a kind of very good feature extraction method.
出处
《吉林大学学报（信息科学版）》
CAS
2010年第5期474-478,共5页
Journal of Jilin University（Information Science Edition）
基金
863国家高科技计划基金资助项目(2009AA11Z203)
国家自然科学基金资助项目(60975028)
关键词
特征抽取
脉冲耦合
神经网络
混合特征
feature extraction
pulse coupled
neural network
hybrid feature
