ScholarGate
Avustaja

Vertaile menetelmiä

Tarkastele valitsemiasi menetelmiä rinnakkain; eroavat rivit korostetaan.

Kontuurianalyysi×Morfologiset kuvankäsittelyoperaatiot×
TieteenalaKonenäköKonenäkö
MenetelmäperheMachine learningMachine learning
Syntyvuosi19851982
KehittäjäSatoshi Suzuki and Keiichi AbeJean Serra
TyyppiShape and contour analysisSet theory and topological image processing
AlkuperäislähdeSuzuki, 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 ↗Serra, J. (1982). Image Analysis and Mathematical Morphology. Academic Press. link ↗
RinnakkaisnimetEdge-based contours, Boundary analysisMathematical morphology, Morphological filtering
Liittyvät55
TiivistelmäContour analysis is the process of detecting and analyzing the boundaries of objects in images by identifying connected edges and extracting shape information. The Suzuki-Abe algorithm provides an efficient method for finding contours in binary images, enabling shape-based object classification and segmentation.Morphological image processing, introduced by Jean Serra in 1982, is a technique based on set theory that reshapes and analyzes image regions using geometric structuring elements. Core operations include erosion and dilation, which can be combined into more complex operations like opening and closing, enabling noise removal, edge detection, and object analysis.
ScholarGateAineisto
  1. v1
  2. 2 Lähteet
  3. PUBLISHED
  1. v1
  2. 2 Lähteet
  3. PUBLISHED

Siirry hakuun Lataa diat

ScholarGateVertaile menetelmiä: Contour Analysis · Image Morphology Operations. Haettu 2026-06-17 osoitteesta https://scholargate.app/fi/compare