Robust Automatic Algorithm for Extraction of Blood Vasculatures from Retinal Images
By: Jain, Nishant
.
Contributor(s): Gupta, Varun.
Publisher: New Delhi STM Journals 2019Edition: Vol.6(2), May-Aug.Description: 1-7p.Subject(s): Computer EngineeringOnline resources: Click here
In:
Recent trends in programming languagesSummary: In this proposed algorithm, an efficient method for extraction and segmentation of blood vasculatures from the retinal eye images is proposed. For finding the features and abnormalities like Fovea, macula, Red lesions and exudates, blood vasculature extraction is one of the most important steps. The proposed algorithm uses tactical combination of Green, L and Y channel of Retinal image, which gives a more accurate and efficient result than the single channel processing. The method is computationally less complex and highly efficient. A set of available DRIVE database is used for the computation of results. The results shows a enhanced comprehensive task of vessel segmentation and c0mputationally robust method
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
Articles Abstract Database
|
School of Engineering & Technology Archieval Section | Not for loan | 2020073 |
In this proposed algorithm, an efficient method for extraction and segmentation of blood vasculatures from the retinal eye images is proposed. For finding the features and abnormalities like Fovea, macula, Red lesions and exudates, blood vasculature extraction is one of the most important steps. The proposed algorithm uses tactical combination of Green, L and Y channel of Retinal image, which gives a more accurate and efficient result than the single channel processing. The method is computationally less complex and highly efficient. A set of available DRIVE database is used for the computation of results. The results shows a enhanced comprehensive task of vessel segmentation and c0mputationally robust method
Click on an image to view it in the image viewer
There are no comments for this item.