Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/150
Full metadata record
DC FieldValueLanguage
dc.contributor.authorJadhav, Ambaji S.-
dc.contributor.authorPatil, Pushpa B.-
dc.date.accessioned2021-07-23T10:25:35Z-
dc.date.available2021-07-23T10:25:35Z-
dc.date.issued2019-01-
dc.identifier.urihttp://hdl.handle.net/123456789/150-
dc.description.abstractIn every field there is use of technology as part of in medical field lot of analysis is done using images. Processing of images will give good analysis when there is no noise or very less noise is present so processing retina images also gives correct results so we used different filters to find out which filter is suitable for pre-processing of retina images available in DRIVE database by computing mean square error (MSE) and Peak signal to noise ratio (PSNR) for different noises. After pre-processing images are segmented using discrete wavelet transform (DWT) and extracted blood vessel pixels are computed and compared with first observer result available in data base and results are very close to manual segmentation which is given DRIVE database.en_US
dc.language.isoen_USen_US
dc.publisherSpringeren_US
dc.relation.ispartofseries. 341–348;-
dc.subjectBlood vessels · Pre-processing · Optic disc · Retina imageen_US
dc.titlePreprocessing and Segmentation of Retina Images for Blood Vessel Extractionen_US
dc.typeArticleen_US
Appears in Collections:F P

Files in This Item:
File Description SizeFormat 
13 Preprocessing and Segmentation of Retina Images for Blood Vessel Extraction.pdf351.47 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.