红外技术2016，Vol.38Issue(10)：850-854,5.
基于自适应SUSAN各向异性扩散的红外弱小目标检测
Infrared Small Target Detection Based on Adaptive SUSAN-controlled Anisotropic Diffusion
摘要
Abstract
To solve the difficult problem of acquiring the small target from infrared image, a new algorithm based on adaptive SUSAN-controlled Anisotropic Diffusion is proposed. The new algorithm combines the SUSAN edges detection algorithm and anisotropic diffusion so that a new diffusion equation is formed, which is used for predicting the background of the infrared image. After that the small targets are extracted from the residual picture between the original image and background image. To make an improvement of the adaptive ability of the new algorithm, a new way to set the limen of the SUSAN edge detector is proposed, and the median absolute deviation is used as the diffusion coefficients. The experiment demonstrates that the proposed algorithm is able to suppress the background of the image effectively, improve the SNR obviously and preserve the size of target accurately.关键词
SUSAN边缘检测/各向异性扩散/小目标检测/背景预测/红外图像Key words
SUSAN edge detection/anisotropic diffusion/small target detection/background prediction/infrared image分类
信息技术与安全科学引用本文复制引用
苑智玮,黄树彩,唐意东,熊志刚..基于自适应SUSAN各向异性扩散的红外弱小目标检测[J].红外技术,2016,38(10):850-854,5.基金项目
陕西省自然科学基础研究计划资助项目（2012JM8020）；航空科学基金 （）
