Multiscale Detection of Curvilinear Structures in 2-D and 3-D Image Data (1995)
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BibTeX
@INPROCEEDINGS{Koller95multiscaledetection,
author = {Th. M. Koller and G. Gerig and G. Székely and D. Dettwiler},
title = {Multiscale Detection of Curvilinear Structures in 2-D and 3-D Image Data},
booktitle = {},
year = {1995},
pages = {864--869},
publisher = {IEEE Computer Society Press}
}
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Abstract
This paper presents a novel, parameter-free technique for the segmentation and local description of line structures on multiple scales, both in 2-D and 3-D. The algorithm is based on a nonlinear combination of linear filters and searches for elongated, symmetric line structures, while suppressing the response to edges. The filtering process creates one sharp maximum across the line-feature profile and across scalespace. The multiscale response reflects local contrast and is independent of the local width.
