Show simple item record

AuthorQidwai, Uvais
AuthorQidwai, Umair
Available date2024-05-07T05:40:00Z
Publication Date2010
Publication NameProceedings of 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2010
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/IECBES.2010.5742192
URIhttp://hdl.handle.net/10576/54710
AbstractIn this paper, a new technique is presented to enhance the blurred images obtained from retinal imaging. One of the main steps in inspecting the eye (especially the deeper image of retina) is to look into the eye using a slit-lamp apparatus that shines a monochromatic light on to the retinal surface and captures the reflection in the camera as the retinal image. While most of the cases, the image produced is quite clean and easily used by the ophthalmologists, there are many cases in which these images come out to be very blurred due to the disease in the eye such a cataract etc in such cases, having an enhanced image can enable the doctors to start the appropriate treatment for the underlying disease. The proposed technique utilizes the Blind Deconvolution approach using Maximum Likelihood Estimation approach. Further post-processing steps have been proposed as well to extract specific regions from the image automatically to assist the doctors in visualizing these regions related to very specific diseases. The post-processing steps include Image color space conversions, thresholding, Region Growing, and Edge detection.
Languageen
PublisherIEEE
SubjectBlind deconvolution
Blurred image
Image color
Monochromatic light
Post processing
Region growing
Retinal image
Retinal imaging
Thresholding
Biomedical engineering
Convolution
Edge detection
Image enhancement
Light reflection
Monochromators
Ophthalmology
Maximum likelihood estimation
TitleBlind Deconvolution for retinal image enhancement
TypeConference
Pagination20-25
dc.accessType Abstract Only


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record