%0 Journal Article
%T Image Segmentation Based on Wavelet Neural Networks with Adaptive Learning<br>基于小波和自学习神经网络的图像分割
%A LI Zhao-hui
%A CHEN Ming
%A <br>李朝晖
%A 陈明
%J 计算机应用研究
%D 2006
%I 
%X This paper presents a new FLIR image segmentation technique based on wavelet neural networks, aiming to fusing both local characteristic of wavelet time-frequency and adaptive learning by neural networks, and resulting in the powerful abilities of approximation and tolerate error in IR image segmentation.This new algorithm has been applied in a FLIR-ATR system, and got favorable results in achieving IR target contours and damping background noises.
%K FLIR<br>小波神经网络
%K 图像分割
%K 自学习状态
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=CCF773D1567C22B4&yid=37904DC365DD7266&vid=EA389574707BDED3&iid=CA4FD0336C81A37A&sid=28F9D9CF04F424FF&eid=D537C66B6404FE57&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=8