Detection of Optic Cup Disc using Morphological Pixel Classification Technique
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 3, Issue 5
Abstract
Retinal image segmentation is important for diagnosing various issues happens in eye. Retinal image segment is one among the crucial problems as a result of this image contains terribly little nerves and a few artifacts present in it. This paper proposes associate automatic morphological segmentation technique to vary the illustration of a picture into one thing that's additional significant and easier to research the interested object. There are many ways that shall perform segmentation, however it's tough to adapt simply and observe the terribly little nerves accurately. To resolve this drawback, this paper associate flexible automatic morphological segmentation and region growing technique that may be applied to any form of retinal pictures that is strictly diagnosed even with the little changes that occur within the image. This projected technique is predicated in a very model of morph perform that applies the morphological watershed operator to a grey scale image. Morphological phase technique is employed to phase the image and choosing the particular image objects, cutting the article to found the basis nerves. Once employing a morphological operation to show the fundamental components among a picture, it's typically helpful to extract and analyze specific info regarding those image components. This proposed segmentation performs region growing for a given image region among the array that are connected to neighboring region pixels which fall among provided constraints.
Authors and Affiliations
R. SubbuLakshmi*1,
Keywords
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