A new and effective method for human retina optic disc segmentation with fuzzy clustering method based on active contour model

2019 ◽  
Vol 58 (1) ◽  
pp. 25-37 ◽  
Author(s):  
Ahmad S. Abdullah ◽  
Javad Rahebi ◽  
Yasa Ekşioğlu Özok ◽  
Mohanad Aljanabi
Keyword(s):  
Optic Disc ◽  
Fuzzy Clustering ◽  
Active Contour ◽  
Active Contour Model ◽  
Human Retina ◽  
Clustering Method ◽  
Contour Model ◽  
Fuzzy Clustering Method

Fusion of Entropy-Based Thresholding and Active Contour Model for Detection of Exudate and Optic Disc in Color Fundus Images

2016 ◽  
Vol 36 (6) ◽  
pp. 795-809 ◽  
Author(s):  
Maitreya Maity ◽  
Dev Kumar Das ◽  
Dhiraj Manohar Dhane ◽  
Chandan Chakraborty ◽  
Anirudhha Maiti
Keyword(s):  
Optic Disc ◽  
Active Contour ◽  
Active Contour Model ◽  
Fundus Images ◽  
Contour Model ◽  
Color Fundus Images

An empirical study on optic disc segmentation using an active contour model

2015 ◽  
Vol 18 ◽  
pp. 19-29 ◽  
Author(s):  
M. Caroline Viola Stella Mary ◽  
Elijah Blessing Rajsingh ◽  
J. Kishore Kumar Jacob ◽  
D. Anandhi ◽  
Umberto Amato ◽  
...  
Keyword(s):  
Empirical Study ◽  
Optic Disc ◽  
Active Contour ◽  
Active Contour Model ◽  
Contour Model

scholarly journals Optic Disc and Cup Segmentation in Retinal Images for Glaucoma Diagnosis by Locally Statistical Active Contour Model with Structure Prior

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Wei Zhou ◽  
Yugen Yi ◽  
Yuan Gao ◽  
Jiangyan Dai
Keyword(s):  
Optic Disc ◽  
Active Contour ◽  
Active Contour Model ◽  
Intensity Inhomogeneity ◽  
Initial Contour ◽  
Glaucoma Diagnosis ◽  
Contour Model ◽  
Novel Structure ◽  
Optic Cup ◽  
The One

Accurate optic disc and optic cup segmentation plays an important role for diagnosing glaucoma. However, most existing segmentation approaches suffer from the following limitations. On the one hand, image devices or illumination variations always lead to intensity inhomogeneity in the fundus image. On the other hand, the spatial prior knowledge of optic disc and optic cup, e.g., the optic cup is always contained inside the optic disc region, is ignored. Therefore, the effectiveness of segmentation approaches is greatly reduced. Different from most previous approaches, we present a novel locally statistical active contour model with the structure prior (LSACM-SP) approach to jointly and robustly segment the optic disc and optic cup structures. First, some preprocessing techniques are used to automatically extract initial contour of object. Then, we introduce the locally statistical active contour model (LSACM) to optic disc and optic cup segmentation in the presence of intensity inhomogeneity. Finally, taking the specific morphology of optic disc and optic cup into consideration, a novel structure prior is proposed to guide the model to generate accurate segmentation results. Experimental results demonstrate the advantage and superiority of our approach on two publicly available databases, i.e., DRISHTI-GS and RIM-ONE r2, by comparing with some well-known algorithms.

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