Channel Based Color Fusion of Visual and IR Images
نویسنده
چکیده
Images of the same scene obtained from visual and thermal camera present complementary information to each other, as both the cameras capture the images following different phenomenon. Thus prominent features of the images are combined into a single image that is suitable for human and machine perception. In this paper pixel level image fusion using weighted average and channel-based color fusion has been implemented and demonstrated using MATLAB. Different performance matrices are calculated to evaluate the performance of image fusion techniques. It has been concluded that color fusion method results are realistic and improves the observer performance and reaction time.
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تاریخ انتشار 2017