关键词: CV模型, 目标提取, NSCT方法, 图像融合

Abstract: In order to solve the problem that the target information is easily lost or impaired when the target is hided or the color of target is close to the background or lack of light, a new method that combined NSCT and target extraction based on CV model is proposed. The method uses the dynamic contour model to search, test and identify the infrared target, then divides the source image sequence into target and background region, and uses non-subsampled Contourlet transform to sparse decomposition in multi-scale and multi-directions for getting high-dimensional singular information accurately. Different fusion rules are used in target and background region respectively, and this method is compared with wavelet fusion method, Laplace fusion method, and NSCT fusion method. Quantitative analysis is carried out for the fused image under parameters like entropy, average gradient, spatial frequency and standard deviation. The results show that this method can not only make the detection of fusion target more easily, but also make the target look clear and brighter. A good fusion effect in subjective visual andobjective evaluation index is obtained.

Key words: CV model, target extraction, NSCT method, image fusion