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- W595128727 abstract "The segmentation of road images is affected by the variability found in unrestricted outdoor images. Segmentation techniques developed for road environments therefore have to be robust enough to cope with this variability, although a priori knowledge about the image structure can be used to increase the techniques' robustness and simplicity. This paper presents some results obtained with several grey level and histogram based methods using local and global information. The methods tested are Chow and Kaneko's dynamic binarization, Wang and Haralick's automatic multithreshold selection technique, Narayanan and Rosenfeld's superspike method, Burt et al.'s pyramid linking approach, and an original technique based on different sized concentric windows. (A) For the covering abstract see IRRD 859610." @default.
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- W595128727 date "1993-01-01" @default.
- W595128727 modified "2023-09-26" @default.
- W595128727 title "HISTOGRAM ANALYSIS TECHNIQUES FOR ROAD IMAGES SEGMENTATION" @default.
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