Research Article Open Access

IMPROVEMENT OF AUTOMATIC HEMORRHAGES DETECTION METHODS USING SHAPES RECOGNITION

Nidhal Khdhair El Abbadi1 and Enas Hamood Al Saadi2
  • 1 University of Kufa, Iraq
  • 2 University of Babylon, Iraq
Journal of Computer Science
Volume 9 No. 9, 2013, 1205-1210

DOI: https://doi.org/10.3844/jcssp.2013.1205.1210

Submitted On: 4 May 2013 Published On: 6 August 2013

How to Cite: El Abbadi, N. K. & Al Saadi, E. H. (2013). IMPROVEMENT OF AUTOMATIC HEMORRHAGES DETECTION METHODS USING SHAPES RECOGNITION. Journal of Computer Science, 9(9), 1205-1210. https://doi.org/10.3844/jcssp.2013.1205.1210

Abstract

Diabetic Retinopathy is a medical condition where the retina is damaged because fluid leaks from blood vessels into the retina. The presence of hemorrhages in the retina is the earliest symptom of diabetic retinopathy. The number and shape of hemorrhages is used to indicate the severity of the disease. Early automated hemorrhage detection can help reduce the incidence of blindness. This study introduced new method depending on the hemorrhage shape to detect the Dot Hemorrhage (DH), its number and size at early stage, this can be achieved by reducing the retinal image details. Detection and recognize the DH by following three sequential steps, removing the fovea, removing the vasculature and recognize DH by determining the circularity for all the objects in the image, finally determine the shape factor which is related to DH recognition, this stage strengthens the recognition process. The proposed method recognizes and separates all the DH.

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Keywords

  • Dot Hemorrhage
  • Diabetic
  • Retina
  • Image Processing
  • Vasculature