摘要
介绍了一种新的红外目标检测方法。在对图像中值滤波之后,用3×3的窗口计算图像局部熵,从而使由局部熵映射的灰度图像中的目标边缘更加清晰,在此基础上使用适应性更强的Canny算子进行边缘检测。实验证明,对于海面目标和海面背景的灰度对比度比较小的红外图像,此方法提高了检测概率。
A novel algorithm for IR target detection is presented. After median filtering, local entropy is calculated for the whole image by using a window of 3×3, thus the edge of the gray image transformed by the local entropy image becomes clearer. Based on which, Canny operator, which is highly adaptive, is used to extract the edge. Experiment results indicate that this method can improve detection probability, especially for infrared images where the gray distinction between sea targets and sea background is tiny.
出处
《电光与控制》
北大核心
2008年第7期75-77,82,共4页
Electronics Optics & Control
