1 July 1996 Detection of dim targets in digital infrared imagery by morphological image processing
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Abstract
We describe the development and the implementation of a new nonlinear image processing methodology to detect dim targets in infrared images. The methodology is based on mathematical morphology. In a first phase, the image is filtered in order to enhance positively contrasted, isotropic objects with a specified size. Then, a simple motion analysis is carried out, and finally, detection is performed by thresholding. A complete study of the algorithm performance on NATO test sequences is presented. A comparison is made with the Holmes filter and the scale-subtraction filter, a wavelet-based method.
Jean-Francois Rivest, Jean-Francois Rivest, Roger Fortin, Roger Fortin, } "Detection of dim targets in digital infrared imagery by morphological image processing," Optical Engineering 35(7), (1 July 1996). https://doi.org/10.1117/1.600620 . Submission:
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