Robust Automatic Algorithm for Extraction of Blood Vasculatures from Retinal Images (Record no. 9961)

000 -LEADER
fixed length control field a
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20191104144220.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191104b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency AIKTC-KRRC
Transcribing agency AIKTC-KRRC
100 ## - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 10302
Author Jain, Nishant
245 ## - TITLE STATEMENT
Title Robust Automatic Algorithm for Extraction of Blood Vasculatures from Retinal Images
250 ## - EDITION STATEMENT
Volume, Issue number Vol.6(2), May-Aug
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New Delhi
Name of publisher, distributor, etc. STM Journals
Year 2019
300 ## - PHYSICAL DESCRIPTION
Pagination 1-7p.
520 ## - SUMMARY, ETC.
Summary, etc. 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
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4622
Topical term or geographic name entry element Computer Engineering
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 10303
Co-Author Gupta, Varun
773 0# - HOST ITEM ENTRY
Title Recent trends in programming languages
Place, publisher, and date of publication Noida STM Journals
856 ## - ELECTRONIC LOCATION AND ACCESS
URL http://computers.stmjournals.com/index.php?journal=RTPL&page=article&op=view&path%5B%5D=2277
Link text Click here
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Articles Abstract Database
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Barcode Date last seen Price effective from Koha item type
          School of Engineering & Technology School of Engineering & Technology Archieval Section 2019-11-04 2020073 2019-11-04 2019-11-04 Articles Abstract Database
Unique Visitors hit counter Total Page Views free counter
Implemented and Maintained by AIKTC-KRRC (Central Library).
For any Suggestions/Query Contact to library or Email: librarian@aiktc.ac.in | Ph:+91 22 27481247
Website/OPAC best viewed in Mozilla Browser in 1366X768 Resolution.

Powered by Koha