Abstract
An infrared and color visible image fusion method based on Snake model region detection and non-subsampled contourlet transform(NSCT) is presented. In this method, first of all, the luminance component is extracted by using IHS(intensity, hue, saturation) color space conversion for color visible images and the target region of infrared images is detected by adopting Snake model. Then NSCT decomposition is utilized for the luminance component and target replaced infrared image. Image fusion is done by using the largest pixels absolute value sum for the high frequency coefficient and the weighted fusion rules based on brightness mapping technology for the low frequency coefficient. NSCT inverse transform is adopted to obtain the brightness of the image fusion for the fusion coefficients. Finally, the color space inverse transformation is used to acquire fusion images. Experimental results show that the proposed fusion method can not only maintain a high resolution and natural colors of the visible image, but also accurately retain the target information detected in the infrared image. Compared with other methods, fusion images with a better visual effect and comprehensive indicator can be achieved.
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