Reference health
Extracting curvilinear structures: A differential geometric approach
6/6 checkable references clean · checked 2026-09-03
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
5 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 6 checked references that resolve
resolves10.1016/0146-664X(81)90056-3
Detection of roads and linear structures in low-resolution aerial imagery using a multisource knowledge integration technique
resolves10.1109/ICCV.1995.466846
Multiscale detection of curvilinear structures in 2-D and 3-D image data
resolves10.1007/BF01664794
Discrete derivative approximations with scale-space properties: A basis for low-level feature extraction
The 5 references without a DOI — listed, not checked
no DOI — not checkedAndreas Busch. Fast recognition of lines in digital images without user-supplied parameters. In International Archives of Photogrammetry and Remote Sensing, volume 30, part 3/1, pages 91–97, 1994.
no DOI — not checkedRachid Deriche. Recursively implementing the gaussian and its derivatives. Rapport de Recherche 1893, INRIA, Sophia Antipolis, France, April 1993.
no DOI — not checkedMartin A. Fischler. The perception of linear structure: A generic linker. In Image Understanding Workshop, pages 1565–1579, San Francisco, CA, USA, 1994. Morgan Kaufmann Publishers.
no DOI — not checkedFrank Glazer. Curve finding by ridge detection and grouping. In W. Kropatsch and H. Bischof, editors, Mustererkennung, Informatik Xpress 5, pages 109–116. Deutsche Arbeitsgemeinschaft für Mustererkennung, 1994.
no DOI — not checkedJ. Brian Subirana-Vilanova and Kah Kay Sung. Multi-scale vector-ridge-detection for perceptual organization without edges. A.I. Memo 1318, MIT Artificial Intelligence Laboratory, Cambridge, MA, USA, December 1992.
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