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• W2357844144 abstract "In this paper, a method of elongated structure detection is presented. In general, this is not a trivial task since standard image segmentation techniques require usually quite complex procedures to incorporate the information about the expected shape of the segments. The presented approach may be an interesting alternative for them. In its first phase, it changes the representation of the image. Instead of a set of pixels, the image is described by a set of ellipses representing fragments of the regions of similar color. This representation is obtained using cross-entropy clustering (CEC) method. The second phase analyses geometrical and spatial relationships between ellipses to select those of them that form an elongated structure within an acceptable range of its width. Both phases are elements of hierarchical active partition framework which iteratively collects semantic information about image content." @default.
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• W2357844144 date "2016-01-01" @default.
• W2357844144 modified "2023-09-26" @default.
• W2357844144 title "Detection of Elongated Structures with Hierarchical Active Partitions and CEC-Based Image Representation" @default.
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• W2357844144 doi "https://doi.org/10.1007/978-3-319-26227-7_15" @default.
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