A Novel Approach to the Detection of Macula in Human Retinal Imagery
T. Ashok kumar 1, S. Priya 2,
and
Varghese Paul 3
1. College of Engineering, Cherthala, Alappuzha, Kerala, India
2. Govt. Model Engineering College, Ernakulam , Kerala, India
3. TocH Institute of Science& Technology, Arakkunnam, Ernakulam Dist, Kerala, India
2. Govt. Model Engineering College, Ernakulam , Kerala, India
3. TocH Institute of Science& Technology, Arakkunnam, Ernakulam Dist, Kerala, India
Abstract—This paper demonstrates an approach to the rapid detection and extraction of macula from the images of human retina. For the diagnosis of ophthalmic pathologies, digital fundus images are becoming increasingly popular. This fact opens up the possibility of applying digital image processing techniques in ocular fundus images to facilitate and improve diagnosis in different ways. Macula is the major landmark for retinal fundus image registration and is indispensible for the quick understanding of retinal images. For the detection and subsequent extraction of macula, we first perform bit plane decomposition to the preprocessed image. The bit plane 0 and bit plane 1 are found to carry vital information of the location and boundary of macula. Then we locate the exact boundary by means of mathematical morphology. The proposed algorithm is computationally simple and does not require a prior knowledge of other retinal image features like optic disc or vasculature. The algorithm has been evaluated on a subset of MESSIDOR1 image database with various visual qualities. Robustness with respect to changes in the parameters of the algorithm has been examined.
Index Terms—macula, bitplane decomposition, mathematical morphology, top-hat transform, bottom-hat transform.
Cite: T. Ashok kumar, S. Priya, and Varghese Paul , "A Novel Approach to the Detection of Macula in Human Retinal Imagery," International Journal of Signal Processing Systems, Vol. 1, No. 1, pp. 23-28, June 2013 doi: 10.12720/ijsps.1.1.23-28
Index Terms—macula, bitplane decomposition, mathematical morphology, top-hat transform, bottom-hat transform.
Cite: T. Ashok kumar, S. Priya, and Varghese Paul , "A Novel Approach to the Detection of Macula in Human Retinal Imagery," International Journal of Signal Processing Systems, Vol. 1, No. 1, pp. 23-28, June 2013 doi: 10.12720/ijsps.1.1.23-28