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Retinal Image Segmentation by using Gradient Descent Method

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 86 - Number 10
Year of Publication: 2014
Pushpendra Kumar
Rekha Pandit
Vineet Richhariya

Pushpendra Kumar, Rekha Pandit and Vineet Richhariya. Article: Retinal Image Segmentation by using Gradient Descent Method. International Journal of Computer Applications 86(10):1-7, January 2014. Full text available. BibTeX

	author = {Pushpendra Kumar and Rekha Pandit and Vineet Richhariya},
	title = {Article: Retinal Image Segmentation by using Gradient Descent Method},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {86},
	number = {10},
	pages = {1-7},
	month = {January},
	note = {Full text available}


Localization and segmentation are important task in medical image analysis. As we know detection of optic nerves is also a major problem in automated retinal image analysis system. Image segmentation of medical image is very complex and crucial step, in this series segmentation of retinal image is more complex in comparison of others. For the retinal image segmentation we use gradient descent method. Recent research is focus on better accuracy rate. This paper gives a bird's eye over all the detection technique toward fair segmentation of optic nerves using gradient descent method (GDM). For initialization of local contour we use Signed pressure force function (SPF) which is region-based active contour model.


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