Literature DB >> 19163474

Detection of the optic disc in images of the retina using the Hough transform.

Xiaolu Zhu1, Rangaraj M Rangayyan.   

Abstract

We propose a method to locate automatically the optic disc (OD) in fundus images of the retina. Based on the properties of the OD, our proposed method includes edge detection using the Sobel or the Canny method, and detection of circles using the Hough transform. The Hough transform assists in the detection of the center and radius of a circle that approximates the margin of the OD. Based on the feature that the OD is one of the bright areas in a fundus image, potential circles detected by the Hough transform are analyzed using intensity. Forty images of the retina from the DRIVE database were used to evaluate the performance of the proposed method. The success rates including both good and acceptable detections were 92.50% using the Sobel operators and 80% using the Canny edge detector.

Mesh:

Year:  2008        PMID: 19163474     DOI: 10.1109/IEMBS.2008.4649971

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  10 in total

1.  Detection of the optic nerve head in fundus images of the retina using the Hough transform for circles.

Authors:  Xiaolu Zhu; Rangaraj M Rangayyan; Anna L Ells
Journal:  J Digit Imaging       Date:  2010-06       Impact factor: 4.056

Review 2.  Detection of the optic nerve head in fundus images of the retina with Gabor filters and phase portrait analysis.

Authors:  Rangaraj M Rangayyan; Xiaolu Zhu; Fábio J Ayres; Anna L Ells
Journal:  J Digit Imaging       Date:  2010-01-12       Impact factor: 4.056

3.  Quadratic divergence regularized SVM for optic disc segmentation.

Authors:  Jun Cheng; Dacheng Tao; Damon Wing Kee Wong; Jiang Liu
Journal:  Biomed Opt Express       Date:  2017-04-26       Impact factor: 3.732

4.  A Novel Method for Correcting Non-uniform/Poor Illumination of Color Fundus Photographs.

Authors:  Sajib Kumar Saha; Di Xiao; Yogesan Kanagasingam
Journal:  J Digit Imaging       Date:  2018-08       Impact factor: 4.056

5.  Automatic Detection of the Optic Disc of the Retina: A Fast Method.

Authors:  M Jamshidi; H Rabbani; Z Amini; R Kafieh; A Ommani; V Lakshminarayanan
Journal:  J Med Signals Sens       Date:  2016 Jan-Mar

Review 6.  A review on automatic analysis techniques for color fundus photographs.

Authors:  Renátó Besenczi; János Tóth; András Hajdu
Journal:  Comput Struct Biotechnol J       Date:  2016-10-06       Impact factor: 7.271

Review 7.  Optic Disc and Optic Cup Segmentation Methodologies for Glaucoma Image Detection: A Survey.

Authors:  Ahmed Almazroa; Ritambhar Burman; Kaamran Raahemifar; Vasudevan Lakshminarayanan
Journal:  J Ophthalmol       Date:  2015-11-25       Impact factor: 1.909

8.  Detecting optic disc on asians by multiscale gaussian filtering.

Authors:  Bob Zhang; Jane You; Fakhri Karray
Journal:  Int J Biomed Imaging       Date:  2012-06-26

9.  Contrast based circular approximation for accurate and robust optic disc segmentation in retinal images.

Authors:  Jose Sigut; Omar Nunez; Francisco Fumero; Marta Gonzalez; Rafael Arnay
Journal:  PeerJ       Date:  2017-09-07       Impact factor: 2.984

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

Authors:  Wei Zhou; Yugen Yi; Yuan Gao; Jiangyan Dai
Journal:  Comput Math Methods Med       Date:  2019-11-20       Impact factor: 2.238

  10 in total

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