Most Read Research Articles


Warning: Creating default object from empty value in /var/www/html/sandbox.ijcaonline.org/public_html/modules/mod_mostread/helper.php on line 79

Warning: Creating default object from empty value in /var/www/html/sandbox.ijcaonline.org/public_html/modules/mod_mostread/helper.php on line 79

Warning: Creating default object from empty value in /var/www/html/sandbox.ijcaonline.org/public_html/modules/mod_mostread/helper.php on line 79

Warning: Creating default object from empty value in /var/www/html/sandbox.ijcaonline.org/public_html/modules/mod_mostread/helper.php on line 79

Warning: Creating default object from empty value in /var/www/html/sandbox.ijcaonline.org/public_html/modules/mod_mostread/helper.php on line 79
Call for Paper - May 2015 Edition
IJCA solicits original research papers for the May 2015 Edition. Last date of manuscript submission is April 20, 2015. Read More

Automatic Detection of Retinal Venous Beading and Tortuosity by using Image Processing Techniques

Print
PDF
IJCA Proceedings on National Conference on Recent Advances in Information Technology
© 2014 by IJCA Journal
NCRAIT - Number 1
Year of Publication: 2014
Authors:
Manjiri B. Patwari
Ramesh R. Manza
Yogesh M. Rajput
Manoj Saswade
Neha Deshpande

Manjiri B Patwari, Ramesh R Manza, Yogesh M Rajput, Manoj Saswade and Neha Deshpande. Article: Automatic Detection of Retinal Venous Beading and Tortuosity by using Image Processing Techniques. IJCA Proceedings on National Conference on Recent Advances in Information Technology NCRAIT(1):27-32, February 2014. Full text available. BibTeX

@article{key:article,
	author = {Manjiri B. Patwari and Ramesh R. Manza and Yogesh M. Rajput and Manoj Saswade and Neha Deshpande},
	title = {Article: Automatic Detection of Retinal Venous Beading and Tortuosity by using Image Processing Techniques},
	journal = {IJCA Proceedings on National Conference on Recent Advances in Information Technology},
	year = {2014},
	volume = {NCRAIT},
	number = {1},
	pages = {27-32},
	month = {February},
	note = {Full text available}
}

Abstract

For the automatic detection of retinal venous beading and to calculate tortuosity of extracted retinal blood vessels. Venous beading represents focal areas of venous dilation and thinning of the venous walls. Venous beading is most easily comprehended as changes in the vascular caliber of the veins of the vascular arcades. This algorithm proceeds through three main steps 1. Preprocessing operations on high resolution fundus images 2. Simple vessel segmentation techniques formulated in the language of 2D Median Filter for retinal vessel extraction 3. Detection of Venous beading and Tortuosity from extracted blood vessels. Performance of this algorithm is tested using the fundus image database(300Fundus Images) taken from Dr. ManojSaswade,Dr. Neha Deshpande and online available databases diaretdb0, diaretdb1 and DRIVE. This algorithm achieves accuracy of 98% with 0. 92 sensitivity and 0 specificityfor Saswadedetabase,for diaretdb0 accuracy 95% with 0. 95 sensitivity and 0 specificity, for diaretdb1 accuracy 96% with 0. 96 sensitivity and 0 specificity,and for DRIVE database 98% accuracy with 0. 98 sensitivity and 0 specificity.

References

  • M. Rema& R. Pradeepa "Diabetic retinopathy: An Indian perspective", Indian J Med Res 125, March 2007, pp 297-310
  • P. H. Gregson, Z. Shen, et al. , Automated Grading of Venous Beading, Computer And Biomedical Research. , 28, 291-304(1995).
  • Manjiri B. Patwari, Dr. Ramesh R. Manza, Dr. ManojSaswade and Dr. Neha Deshpande, "A Critical Review of Expert Systems for Detection and Diagnosis of Diabetic Retinopathy", Ciit International Journal of Fuzzy Systems, February 2012, DOI: FS022012001 ISSN 0974-9721, 0974-9608. (IF 1. 3).
  • Yogesh M. Rajput, Ramesh R. Manza, Manjiri B. Patwari, Neha Deshpande, "Retinal Blood Vessels Extraction Using 2D Median Filter", Third National Conference on Advances in Computing(NCAC-2013), 5th to 6th March 2013, School of Computer Sciences, North Maharashtra University, Jalgaon-425001 (MS) India.
  • Yogesh M. Rajput, Ramesh R. Manza, Manjiri B. Patwari, Neha Deshpande, "Retinal Optic Disc Detection Using Speed Up Robust Features", National Conference on Computer & Management Science [CMS-13], April 25-26, 2013, RadhaiMahavidyalaya, Auarngabad-431003(MS India).
  • Manjiri B. Patwari, Ramesh R. Manza, Yogesh M. Rajput, Neha K. Deshpande, ManojSaswade, "Extraction of the Retinal Blood Vessels and Detection of the Bifurcation Points", International Journal in Computer Application(IJCA), September 18, 2013. ISBN : 973-93-80877-61-7,
  • Manjiri B. Patwari, Ramesh R. Manza, Yogesh M. Rajput, ManojSaswade, Neha K. Deshpande, "Review on Detection and Classification of Diabetic Retinopathy Lesions Using Image Processing Techniques", International Journal of Engineering Research & Technology (IJERT), ISSN: 2278-0181, Vol. 2 Issue 10, October - 2013,
  • Manjiri B. Patwari, Ramesh R. Manza, Yogesh M. Rajput, ManojSaswade, Neha K. Deshpande, "Detection and Counting the Microaneurysms using Image Processing Techniques International Journal of Applied Information Systems (IJAIS) – 6(5):11-17, November 2013. Published by Foundation of Computer Science, New York, USA. , ISSN : 2249-0868, Vol. 6 Number 5, October - 2013, Impact Factor 1. 187
  • Manjiri B. Patwari, Dr. Ramesh R. Manza,Yogesh M. Rajput, Dr. ManojSaswade, Dr. Neha K. Deshpande, Sangramsing N. Kayte," Calculation of Retinal Blood vessels Tortuosity by using Image processing Techniques and Statistical Techniques", 2nd International Conference on System Modeling & Advancement in Research Trends (SMART) Department of Computer Applications, TMIMT ,TeerthankerMahaveer University, published in Academic Journal online (AJO), International Journal of Trends in Computer Science, ISSN: 7462 – 8452, Volume 2, Issue 11, 2013.