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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Spatial registration of partially overlapping retinal images
 Žiak, Milan ; Harabiš, Vratislav (referee) ; Valterová, Eva (advisor)
Adaptive optics give us opportunity to capture high resolution images of retina, even we are able to detect cones. Spatial registration of retina images has to be done due to scanning process of capturing, because current opthalmoscops with adaptive optics aren't able to capture whole area of retina. Diploma thesis demonstrates basic princip of automatic spatial registration of overlaping images. It uses constellation features for matching some of the detected cones. K-means combinate wiht RANSAC is used for outlier detection. Inliers matching pairs are then used to define a affine transformation matrix. This method was aplied on dataset retina images from AO-FIO modality and evaluation of quality was computed according to normalized mutual information. Result shows that this metod is suitable for registration AO-FIO images with "cell-to-cell" accuracy.
Detailed record
Spatial registration of partially overlapping retinal images
 Žiak, Milan ; Harabiš, Vratislav (referee) ; Valterová, Eva (advisor)
Adaptive optics give us opportunity to capture high resolution images of retina, even we are able to detect cones. Spatial registration of retina images has to be done due to scanning process of capturing, because current opthalmoscops with adaptive optics aren't able to capture whole area of retina. Diploma thesis demonstrates basic princip of automatic spatial registration of overlaping images. It uses constellation features for matching some of the detected cones. K-means combinate wiht RANSAC is used for outlier detection. Inliers matching pairs are then used to define a affine transformation matrix. This method was aplied on dataset retina images from AO-FIO modality and evaluation of quality was computed according to normalized mutual information. Result shows that this metod is suitable for registration AO-FIO images with "cell-to-cell" accuracy.
Detailed record

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