Hierarchical detection of red lesions in retinal images by multiscale correlation filtering

Bob Zhang, Xiangqian Wu, Jia You, Qin Li, Fakhri Karray

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

31 Citations (Scopus)


This paper presents an approach to the computer aided diagnosis (CAD) of diabetic retinopathy (DR)- a common and severe complication of long-term diabetes which damages the retina and cause blindness. Since red lesions are regarded as the first signs of DR, there has been extensive research on effective detection and localization of these abnormalities in retinal images. In contrast to existing algorithms, a new approach based on Multiscale Correlation Filtering (MSCF) and dynamic thresholding is developed. This consists of two levels, Red Lesion Candidate Detection (coarse level) and True Red Lesion Detection (fine level). The approach was evaluated using data from Retinopathy On-line Challenge (ROC) competition website and we conclude our method to be effective and efficient
Original languageEnglish
Title of host publicationMedical Imaging 2009
Subtitle of host publicationComputer-Aided Diagnosis
Publication statusPublished - 15 Jun 2009
EventMedical Imaging 2009: Computer-Aided Diagnosis - Lake Buena Vista, FL, United States
Duration: 10 Feb 200912 Feb 2009


ConferenceMedical Imaging 2009: Computer-Aided Diagnosis
Country/TerritoryUnited States
CityLake Buena Vista, FL


  • Computer-aided diagnosis (CAD)
  • Diabetic Retinopathy (DR)
  • Multiscale Correlation Filtering
  • Red lesiondetection

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging


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