@inbook {1045, title = {Effects of Preprocessing Eye Fundus Images on Appearance Based Glaucoma Classification}, booktitle = {Computer Analysis of Images and Patterns}, series = {Lecture Notes in Computer Science}, number = {4673}, year = {2007}, note = {ScopusID: 38149068236doi: 10.1007/978-3-540-74272-2_21}, month = {Aug 2007}, pages = {165 - 172}, publisher = {Springer Verlag}, organization = {Springer Verlag}, type = {Conference paper}, address = {Berlin; Heidelberg}, abstract = {
Early detection of glaucoma is essential for preventing one ofthe most common causes of blindness. Our research is focused on a novel automated classification system based on image features from fundus photographs which does not depend on structure segmentation or prior expert knowledge. Our new data driven approach that needs no manual assistance achieves an accuracy of detecting glaucomatous retina fundus images compareable to human experts. In this paper, we study image preprocessing methods to provide better input for more reliable automated glaucoma detection. We reduce disease independent variations without removing information that discriminates between images of healthy and glaucomatous eyes. In particular, nonuniform illumination is corrected, blood vessels are inpainted and the region of interest is normalized before feature extraction and subsequent classification. The effect of these steps was evaluated using principal component analysis for dimension reduction and support vector machine as classifier.
}, isbn = {978-3-540-74271-5}, issn = {0302-9743}, doi = {10.1007/978-3-540-74272-2_21}, author = {J{\"o}rg Meier and Rudriger Bock and Georg Michelson and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Joachim Hornegger}, editor = {Walter G Kropatsch and Martin Kampel and Allan Hanbury} }