Quantitative evaluation of image registration techniques in the case of retinal images
type: Dataset
contact point: Organization
  fn: CCSD
keyword: spigprocengineering-sciences-physicschemical-and-process-engineering
keyword: dissimilarity-criterion
keyword: human-retina
keyword: spisignalengineering-sciences-physicssignal-and-image-processing
keyword: journal-articles
keyword: infoeu-reposemanticsarticle
keyword: image-registration
keyword: infoinfo-tscomputer-science-cssignal-and-image-processing
landing page: 1017-9909
description: International audience
issued: 2026-05-17T07:17:44.636907
language: en
modified: 2026-05-17T07:17:44.636912

Quantitative evaluation of image registration techniques in the case of retinal images
type: Distribution
access URL: https://hal.science/hal-00700870
format: HTML
issued: 2026-05-17T07:17:44.660682
modified: 2026-05-17T07:17:44.600109

test_moissonnage_selune
type: Agent