Marcos C. de Andrade

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In this paper we introduce the color-based catchment basin merging algorithm, an area-based segmentation approach that is specifically designed to segment low-altitude aerial images, as a preprocessing step to 3D reconstruction. This approach extends the watershed-based catchment basin merging algorithm, which is purely geometric, by introducing color(More)
This study introduces an interactive image segmentation algorithm for extraction of ill-defined edges (faint, blurred or partially broken) often observed at small-scale imaging. It is based on a simplified deformable elastic model evolution paradigm. Segmentation is achieved as a two-step region-growing, shrinking and merging simulation constrained by an(More)
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