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- W2184104272 abstract "The aim of our research is to analyse the im- portance of texture information for affine registration of gray-scale far-infrared (FLIR) images and gray-scale im- ages taken in the visible spectrum. Texture features are extracted by Laws texture coefficients and used for com- puting registration criterion functions. The proposed fea- ture based approach is compared to the commonly used ap- proach, where a registration criterion function is computed directly from intensity features, i.e. grey values. The experi- ments on a small database of ten image pairs show that our texture feature based registration method works well for the given image modalities. Furthermore, we can expect more robust and more correct registration when texture based cri- terion function instead of intensity based one is used." @default.
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- W2184104272 date "2007-01-01" @default.
- W2184104272 modified "2023-09-26" @default.
- W2184104272 title "Texture features for affine registration of thermal (FLIR) and visible images" @default.
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