The study on infrared image mosaic application using immune memory clonal selection algorithm

Infrared imaging technology is widely used in industrial and military fields. When a large target need to be photographed but one picture could not accommodate; then several different areas of this target must be photographed firstly, afterwards these split areas need to make image mosaic. To do this, this paper proposes an image mosaic algorithm which is called immune memory clonal selection algorithm. The algorithm determines the matched positions of infrared images, after finding the feature points of infrared images by using Susan algorithms. Simulations of the proposed algorithm show that the method is effective. The algorithm is applicable not only in infrared image mosaic, but also in visible image mosaic with complex background.

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