Small Target Detection Based on Energy Accumulation and Order Morphology Filtering in Infrared Image
基于能量累积与顺序形态滤波的红外小目标检测

Because of the influence of nature meteorological condition, background environment and the structures of objectors, detection of weak and small objectors in infrared image is one of difficulties among image objector detection and identification. A new small target detection method based on energy accumulation and order morphology filtering is presented for solving detection of moving small target with low SNR in infrared image sequence. Accumulating the energy of the image sequence in the sliding window with a setting size can remove the random noise in order to increase SNR. Three steps of target detection from coarse to fine are adopted. First suppressing background and extracting generalized edge of targets by using order morphology filtering, determining the prime location of the targets, then segmenting the regions where there are possible targets, extracting the geometrical features. Finally filtrating the true targets according to the principle of moving continuity and trajectory consistency of moving target in the image sequences. The experiments show that this method can effectively suppress background and extract generalized edge of targets, adaptively choose threshold for segment, perform the location and detection of small targets in infrared image.