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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Distance Maps from Unthresholded Magnitudes
verfasst von : Luis Anton-Canalis, Mario Hernandez-Tejera, Elena Sanchez-Nielsen
Erschienen in: Pattern Recognition and Image Analysis
Verlag: Springer Berlin Heidelberg
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A straightforward algorithm that computes distance maps from unthresholded magnitude values is presented, suitable for still images and video sequences. While results on binary images are similar to classic Euclidean Distance Transforms, the proposed approach does not require a binarization step. Thus, no thresholds are needed and no information is lost in intermediate classification stages. Experiments include the evaluation of segmented images using the watershed algorithm and the measurement of pixel value stability in video sequences.