Reference health
Scale and segmentation of grey-level images using maximum gradient paths
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11/11 checkable references clean · checked 2026-08-10
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.
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The 11 checked references that resolve
resolves10.1016/0042-6989(83)90135-9
Discrimination thresholds in the two-dimensional spatial frequency domain
resolves10.1016/0262-8856(90)90067-F
Image segmentation using maximum gradient profiles orthogonal to edges
The 17 references without a DOI — listed, not checked
no DOI — not checked10.1016/0262-8856(92)90025-X_BIB1
no DOI — not checkedScale-space filtering
no DOI — not checkedRepresentation based on zero-crossings in scale-space
no DOI — not checkedEarly visual representations using regions defined by maximum gradient profiles between singular points
no DOI — not checkedRosin, P L, Colchester, A C F and Hawkes, D J ‘Early visual representation using regions defined by maximum gradient profiles between singular points’, Patt. Recog. (In press)
no DOI — not checkedA survey on image segmentation
no DOI — not checkedTheory of edge detection
no DOI — not checkedPreliminary work on the interpretation of SPECT images with the aid of registered MR images and an MR derived 3D neuro-anatomical atlas
no DOI — not checkedEdge-region integration for segmentation of MR images
no DOI — not checkedNetwork representation of 2D and 3D images
no DOI — not checkedSur la sphere vide
no DOI — not checkedNouvelles applications des parametres a la theorie des formes quadratiques. Deuxieme Memoire: Recherches sur la paralleloedres. Deuxieme reiene angnew
no DOI — not checkedImage processing
no DOI — not checkedMachine perception of three-dimensional solids
no DOI — not checkedEdge and curve detection for visual scene analysis
no DOI — not checkedImage description via the multi-resolution intensity axis of symmetry
no DOI — not checkedThe use of the grey-level SAT to find the salient cavities in echo-cardiograms
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