Research on Infrared Ship Detection Algorithm Based on Improved RLCM
Aiming at the characteristics of high false alarm rate and low detection accuracy in different complex backgrounds,an infrared small target detection algorithm with improved relative local contrast measure(RLCM)is proposed.In the pre-processing stage,the adaptive bilateral filtering is used to filter the irrelevant noise,and the edge contour of the small target is enhanced by multi-scale processing to prevent the small target from drowning in the background and improve the detection accuracy.In the detection stage,weight information is introduced,and target information and background information are used as weight parameters to further enhance small targets.By making a difference between the processed salient image and the original image,the position accuracy of the target is enhanced and the influence of the block effect is weakened.The experimental results show that the proposed algorithm is more effective than the traditional detection algorithm.
infrared small targetself-adaptiontarget detectionbilateral filtering
NETL
NSTL
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