Image Segmentation Based on Wavelet Neural Networks with Adaptive Learning
基于小波和自学习神经网络的图像分割

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.