摘要
红外图像中的弱小目标因为信噪比和对比度较低,用单帧图像检测很难得到满意的效果,利用多帧图像信息进行检测是有效的手段之一。分析了利用帧间相关性对红外图像中的弱小目标进行检测的方法,提出了改进的算法和对比度相关性的概念。该算法在序列图像灰度起伏情况下,克服了直接利用灰度相关效果不好的缺点,具有良好的抗噪声和背景干扰的特点。算法可以推广到其他类型图像目标的检测中。
In terms of the low SNR and contrast, the small and dim targets can not be easily detected in a single IR image, so utilizing a sequence of images is an effective method. Correlativity of target in a sequence of images is analyzed for detection of small and dim target. Some advanced algorithms are discussed, and concept of contrast correlativity is set forth. The method abstains from the disadvantage due to direct using gray correlation in the case that the gray is fluctuant in the sequence of images, and eliminates the disturbance of noise and background. The algorithm could be applied in the small target detection in other types of image.
出处
《红外与激光工程》
EI
CSCD
北大核心
2003年第4期390-393,共4页
Infrared and Laser Engineering
基金
国家自然基金资助项目(60007007)
关键词
检测
小目标
相关性
红外图像
Detection
Small target
Similarity
IR image
