In order to solve the problem that the current algorithms cannot eliminate the background effectively and
lead to the low detection rate, a infrared dim target detection approach based on fractional integral operator is proposed.
Firstly, through studying the fractional integral theory and analyzing its predominant sharp low-pass frequency character, the
fractional integral operator is introduced to combine with the guard ring technology to eliminate the infrared background.
Then, by analyzing the space features of targets and background edges, the difference of template average algorithm is
introduced to detect the candidate targets. Finally, by combining with the continuous motion character of targets, the multiframe
trajectory related algorithm is used to eliminate the false targets. Experiment results show that the proposed approach
can eliminate the background effectively so as to enhance the signal-to-noise value, and the targets can be detected effectively
in the low signal noise ratio background.