ScholarGate
Assistent
Machine learningBoundary detection

Konturanalyse

Konturanalyse er processen med at detektere og analysere objekters grænser i billeder ved at identificere forbundne kanter og udtrække forminformation. Suzuki-Abe-algoritmen giver en effektiv metode til at finde konturer i binære billeder, hvilket muliggør formbaseret objektklassificering og segmentering.

Åbn i MethodMindSnartVideoSnartDownload slides

Læs hele metoden

Kun for medlemmer

Log ind med en gratis konto for at læse dette afsnit.

Log ind

Method map

The neighbourhood of related methods — select a node to explore.

Kilder

  1. Suzuki, S., & Abe, K. (1985). Topological structural analysis of digitized binary images by border following. Computer Vision, Graphics, and Image Processing, 30(1), 32–46. DOI: 10.1016/0734-189X(85)90016-7
  2. Hu, M. K. (1962). Visual pattern recognition by moment invariants. IRE Transactions on Information Theory, 8(2), 179–187. DOI: 10.1109/TIT.1962.1057692

Sådan citerer du denne side

ScholarGate. (2026, June 3). Contour Detection and Analysis. ScholarGate. https://scholargate.app/da/computer-vision/contour-analysis

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

Refereret af

ScholarGateContour Analysis (Contour Detection and Analysis). Hentet 2026-06-15 fra https://scholargate.app/da/computer-vision/contour-analysis · Datasæt: https://doi.org/10.5281/zenodo.20539026