Automatic optic disc detection from retinal images by a line operator.
Under the framework of computer-aided eye disease diagnosis, this paper presents an automatic optic disc (OD) detection technique. The proposed technique makes use of the unique circular brightness structure associated with the OD, i.e., the OD usually has a circular shape and is brighter than the surrounding pixels whose intensity becomes darker gradually with their distances from the OD center. A line operator is designed to capture such circular brightness structure, which evaluates the image brightness variation along multiple line segments of specific orientations that pass through each retinal image pixel. The orientation of the line segment with the minimum/maximum variation has specific pattern that can be used to locate the OD accurately. The proposed technique has been tested over four public datasets that include 130, 89, 40, and 81 images of healthy and pathological retinas, respectively. Experiments show that the designed line operator is tolerant to different types of retinal lesion and imaging artifacts, and an average OD detection accuracy of 97.4% is obtained.
Department of Computer Vision and Image Understanding, Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore 138632. slu@i2r.a-star.edu.sg
Shijian
S
Lu
Joo Hwee
JH
Lim
D016208:Databases, Factual; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D003941:Diagnostic Techniques, Ophthalmological; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D009898:Optic Disk / Q000033:anatomy & histology*; D012160:Retina / Q000033:anatomy & histology*