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Fundus optic disc localization and segmentation method based on phase congruency.

Lei Geng1, Yi-Ting Shao1, Zhi-Tao Xiao1

  • 1School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin 300387, China.

Bio-Medical Materials and Engineering
|September 18, 2014
PubMed
Summary

This study introduces a novel method for locating and segmenting the optic disc using phase congruency (PC). This technique accurately identifies key optic disc features relevant to diabetic retinopathy detection.

Keywords:
Fundus imagediabetic retinopathyoptic disc localizationoptic disc segmentationphase congruency

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Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Computer Vision

Background:

  • Optic disc shape, area, and depth are crucial indicators for diagnosing diabetic retinopathy.
  • Accurate localization and segmentation of the optic disc are essential for quantitative analysis.

Purpose of the Study:

  • To develop and validate a new method for optic disc localization and segmentation in fundus images.
  • To improve the accuracy and efficiency of optic disc analysis for diabetic retinopathy assessment.

Main Methods:

  • Utilized phase congruency (PC) for feature extraction from selected color channels (LAB, YUV, YIQ, HSV) to enhance optic disc visibility.
  • Employed window scanning and gray accumulation for optic disc localization.
  • Applied iterative OTSU thresholding and Hough transform for precise optic disc segmentation.

Main Results:

  • The proposed method demonstrated effective and accurate localization of the optic disc.
  • The segmentation results obtained were precise, facilitating quantitative analysis.
  • Phase congruency-based feature enhancement significantly improved detection results.

Conclusions:

  • The developed phase congruency-based method offers a robust solution for optic disc localization and segmentation.
  • This technique holds potential for improving the early detection and monitoring of diabetic retinopathy.
  • Accurate optic disc segmentation is vital for assessing disease progression and treatment efficacy.