Abstract
In order to solve the problem of detecting small dim targets in infrared images with the complicated air background,an improved algorithm based on image complexity and orientation gradient is put forward.The information entropy reflects the complexity of the image.The weighted information entropy with the variance and the change rate of local pixels suppresses both the inside and the edge of clouds.Since the image of the complexity is obtained,targets can be extracted by the means of multi-degree and multi-orientation gradient under the circumstance that the complexity of the background is higher than that of the targets.Experiments indicate that the algorithm can detect small dim targets effectively with complicated cloud background.
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