Research On The Detection Of Small And Dim Targets In Infrared Images

The project of this thesis is supported by the National Science Foundation of China, named "Detection of small and dim target in infrared based on background prediction" (60007007). The small and dim target detection technique in infrared images has already become the key technology of the image guidance and the warning system.This paper study the detection of the small and dim targets in the infrared images from the view of image processing , analysis the imagery characteristics of noise, background and target. Detecting algorithm based on background prediction, maximum background prediction, most similar background prediction, displacement pipeline filter, target movement characteristics algorithm based on sub-pixel analysis and the method of the contrast similarity among frames are introduced for the target detecting in single image and sequence images. The above algorithms have very important academical value in either theory or in practicability. In first time, the relationship between probability of detection and probability of fault to SNR, contrast and detecting threshold is derived in the assessment of detecting result. All of the analysis are carried on the emulation experiment with the real infrared images, and are verified the excellent characteristics of various algorithms and conclusions from the experimental result.