TY  - JOUR
T1  - Comparative Studies on Canny and Sobel Edge Detection Techniques for Diabetic Retinopathy Eye Image
AU - Vijayalakshmi, R. AU - Selvarajan, S. 
JO  - International Journal of Soft Computing
VL  - 9
IS  - 4
SP  - 213
EP  - 218
PY  - 2014
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2014.213.218
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2014.213.218
KW  - Edge detection
KW  -ROI
KW  -edge length
KW  -contrast
KW  -Canny edge
KW  -Sobel operator
AB  - Diabetic is one the important cost related injuries. And also 
  it gives the numerous eye problems for humans like diabetic retinopathy. In 
  this research, a new method has been proposed to recognize the eye and also 
  it has been analysed with other technique. Edge detection is one of the important 
  modules of any image processing technique. In this research, researchers have 
  been proposed the Canny Edge Detection technique based on Region of Interest 
  (ROI) and Edge Length (EL) to recognize the human eye. And also Sobel Edge Detection 
  technique is proposed to detect the edge of the diabetic retinopathy eye image. 
  Both the technique have been compared and analysed. The performance of the both 
  technique has been compared and verified with each other. After that it has 
  been validated with existing standard values which was collected from the standard 
  and famous eye hospital in coimbatore. In this research, Canny Edge Detection 
  technique is a novel technique to identify the diabetic retinopathy and also 
  the proposed technique shows significant results compared with Sobel Edge Detection 
  technique.
ER  -