Automatic fundus image field detection and quality assessment

  title={Automatic fundus image field detection and quality assessment},
  author={Gajendra J. Katuwal and John P. Kerekes and Rajeev Ramchandran and Christye Sisson and Navalgund Rao},
  journal={2013 IEEE Western New York Image Processing Workshop (WNYIPW)},
Fundus images are an important diagnostic tool for many retinal diseases. Sometimes the images captured are of low quality and cannot be used for diagnosis requiring repeat image acquisition. So, it is efficient to have an automatic system to assess the quality of the fundus image during the time of image capture. We have developed an automatic approach to… CONTINUE READING