Abstract:
Macula is one of the very important landmarks in the human retinal image. Detection of macula is essential in the
classification of some of the ophthalmologic diseases and for the feature extraction process in the retina-based personal
identification. There is a number of methods that are used to localize the center point of macula region. In this paper, some of them
are being discussed: Colour K-means Segmentation method, center of mass (CoM) based method, and the proposed method; then
implemented practically to determine the best one. Proposed method eliminates shortcomings of the other two methods by reducing
the computational time and the noise effect. Hence, the experimental results demonstrate that this method is more efficient for
localizing macula center point than the other two methods.