The paper describes restitution of geometrical distortions and improvement of signal-to-noise ratio of auto-fluorescence retinal images, finally aimed at segmentation and area estimation of the lipofuscin spots as one of the features to be included in glaucoma diagnosis. The main problems - geometrical and illumination incompatibility of frames in the image sequence and a non-negligible "shear" distortion in the individual frames - have been solved by the presented registration procedure. The concept and some details of the MI-based regularized registration, together with evaluation of test results form the core of the contribution.

• MeSH
• algoritmy MeSH
• financování organizované MeSH
• fluoresceinová angiografie metody   MeSH
• interpretace obrazu počítačem metody   MeSH
• konfokální mikroskopie metody   MeSH
• lidé MeSH
• reprodukovatelnost výsledků MeSH
• retinální cévy cytologie   MeSH
• retinoskopie metody   MeSH
• senzitivita a specificita MeSH
• subtrakční technika MeSH
• vylepšení obrazu metody   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• hodnotící studie MeSH