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- W2573608869 abstract "Image simplification has been proved useful in several image processing applications as an additional step for more complex tasks, such as segmentation and feature extraction. In this work, we explore a graph-based simplification method that guarantees a well-behaved suppression of the image extrema (maxima/minima) by taking into account both information of distance and contrast, as well as some interesting aspects of the scale-space theory. By highlighting some new properties of the method, we define a local update of the graph which implies in an interesting bypass in the whole algorithm structure which, originally, is very time-consuming. Finally, we illustrate how to combine this simplification process with well-known morphological tools to approach problems related mainly with multi-scale image segmentation and homogenization." @default.
- W2573608869 created "2017-01-26" @default.
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- W2573608869 date "2016-10-01" @default.
- W2573608869 modified "2023-09-30" @default.
- W2573608869 title "Multi-scale Morphological Image Simplification Based on Extrema Relationships: Improvements and Applications" @default.
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- W2573608869 doi "https://doi.org/10.1109/sibgrapi.2016.051" @default.
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