@article{b4e6fcbace554dcca2dce26bd6b6883b,
title = "Clustering of collinear line segments",
abstract = "A number of methods are presented for finding clusters in collinear collections of line segments. The methods are of two kinds - merging methods and splitting methods. Both make use of an evaluation function, and several alternative functions are illustrated. The methods are evaluated using randomly generated clusters on backgrounds containing varying amounts of noise.",
keywords = "Clustering, Collinearity, Image processing, Line segments, Segmentation",
author = "Ann Scher and Michael Shneier and Azriel Rosenfeld",
note = "Funding Information: The merging methods initially assume that every individual line segment forms a trivial {"}cluster{"}. Each cluster attempts to expand by including neighboring segments, until an evaluation function prevents further additions. The methods may be sequential, for exam- The support of the U.S. Army Night Vision Laboratory and the Defense Advanced Research Projects Agency under Contract DAAG-53-76C-0138 (DARPA Order 3206) is gratefully acknowledged. *All correspondence to Dr. Rosenfeld at address above.",
year = "1982",
doi = "10.1016/0031-3203(82)90003-6",
language = "English",
volume = "15",
pages = "85--91",
journal = "Pattern Recognition",
issn = "0031-3203",
number = "2",
}