Infrared Dim and Small Targets Detection Method Based on Local Energy Center of Sequential Image

Algorithm 1

() Initialize the parameters: -target search neighborhood region, Num-number frames of images

() Use IABP to acquire the difference graph. Then use improved HOC to enhancement the difference graph. Finally, use the local

maximum value partitioning (LMVP) [21] to obtain the binary image of the sequence

() Input: Input frames of binary image.

() Output: the target in every frame of image’s center ()

 () FOR :Num

 () Record the ’s width as m and high as

 () Record the ’s all candidate targets ()

 () FOR :

 () FOR :

 () IF

 () Use formula (12) to obtain the three elements-, and

 () END IF

 () END FOR

 () END FOR

 () Use formula (13) to obtain the true target ()

 () END FOR

() Record the points () of the target in every frame of image and export corresponding detection result