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Morphological Sieves on Layered Images for Image Segmentation

In this paper, the morphological scale space is used for color segmentation. By combining mathematical morphology we can keep the geometry of the objects, while the good properties of the scale space remain valid, such as causality, regularity, or affine invariance. Similar pixels are selected using color categorization, and morphology is the way of grouping close structures together. Images are represented in different layers that our algorithm merges in order. The algorithm avoids oversegmentation by maximizing the number of occlusions in this merging process.