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- W1551659892 abstract "A new methodology in contour analysis (based on the observation that image derivatives are dangerously amplifying noises) has been recently gaining popularity. Instead, contour features are directly detected from grey-level images. The paper presents a novel technique of contour extraction (including features more complex than usually discussed edges and corners) based on locally computed moments of function. The scanning circular window is rather large (7-15 pixel radius) which allows extraction in noised and/or textured images. For each location of the window, a moment-based parameter fitting is used to determine the model contour prospectively existing at this location. Then, the model is matched with the actual content of the window. The results are either shown as a feature intensity map or can be used for further image processing. The prospects of hardware implementation are also briefly discussed." @default.
- W1551659892 created "2016-06-24" @default.
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- W1551659892 date "2004-04-23" @default.
- W1551659892 modified "2023-10-11" @default.
- W1551659892 title "Moments in contour extraction: an algorithm and its implementation" @default.
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- W1551659892 doi "https://doi.org/10.1109/icarcv.2002.1234841" @default.
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