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Fuzzy homogeneity and scale-space approach to color image segmentation
Pattern Recognition, 2003Image segmentation is the procedure in which the original image is partitioned into homogeneous regions, and has many applications. In this paper, a fuzzy homogeneity and scale-space approach to color image segmentation is proposed. A color image is transformed into fuzzy domain with maximum fuzzy entropy principle.
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Image segmentation by analysis of scale-space
Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing, 2003We present a technique in image segmentation based on a hierarchical analysis of scale-space. The image hierarchy is a tree of critical lakes and provides a set of nested partitions. We analyze the scale-space from fine to coarse levels according to specific attributes.
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The Segmentation of Images via Scale-Space Trees
Procedings of the British Machine Vision Conference 1998, 1998A useful representation of an image would be an object tree in which nodes represent objects, or parts of objects, and which includes at least one node that, together with its children, represents each object: a grandmothernode. It is shown that scale-trees, obtained from greyscale images, approximate such a tree.
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