An Optic Disc Detection Scheme on Retinal Images

نویسندگان

  • Guan-Ming Lin
  • Chen-Chung Liu
  • Chun-Yuan Yu
  • Shyr-Shen Yu
چکیده

For a computer aided detection system of retinal lesions, optic disc (OD) detection is the first and the most importance. Since the OD is once detected then other clinical importance regions such as fovea or macula can easily be determined, and the OD shape is often used to evaluate abnormal retinal features for diagnosis of abnormalities such as hypertensive retinopathy. In this paper, an approximate OD region is detected by an upper outlier detection scheme. And the final OD is extracted by the random walk scheme with seeds selected automatically. The presented OD detection scheme is assessed quantitatively in 89 images of the Standard Diabetic Retinopathy Database Calibration level 1 (DIARETDB1) database by comparing the detection results with ophthalmologist’s hand-drawn ground-truth images. The experimental results show that the OD detected by the presented algorithm approximately follows that extracted by an expert radiologist. Keywords— Optic disc, retinal, outlier, random walk, DIARETDB1.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Morphological Exudate Detection in Retinal Images using PCA-based Optic Disc Removal

Diabetic retinopathy lesion detection such as exudate in fundus image of retina can lead to early diagnosis of the disease. Retinal image includes dark areas such as main blood vessels and retinal tissue and also bright areas such as optic disk, optical fibers and lesions e.g. exudate. In this paper, a multistage algorithm for the detection of exudate in foreground is proposed. The algorithm se...

متن کامل

Automatic Optic Disc Center and Boundary Detection in Color Fundus Images

Accurately detection of retinal landmarks, like optic disc, is an important step in the computer aided diagnosis frameworks. This paper presents an efficient method for automatic detection of the optic disc’s center and estimating its boundary. The center and initial diameter of optic disc are estimated by employing an ANN classifier. The ANN classifier employs visual features of vessels and th...

متن کامل

Evaluation of Retinal Optic Disc Segmentation in Patients with Glaucoma and Comparison with Other Methods of Medical Image Processing

Introduction: Glaucoma is the most common cause of blindness in some countries. In the meantime, the field of retinal image processing has been proposed in order to provide automatic systems for disease diagnosis. Among the methods of medical image processing, image segmentation is a process of identification and change in the display of an image. The objective of this study was to use t...

متن کامل

Evaluation of Retinal Optic Disc Segmentation in Patients with Glaucoma and Comparison with Other Methods of Medical Image Processing

Introduction: Glaucoma is the most common cause of blindness in some countries. In the meantime, the field of retinal image processing has been proposed in order to provide automatic systems for disease diagnosis. Among the methods of medical image processing, image segmentation is a process of identification and change in the display of an image. The objective of this study was to use t...

متن کامل

Automatic Detection of Optic Disc in Digital Retinal Images

On the research work leading to automatic detection of optic disc from retinal images is very essential and crucial for expert ophthalmologists to diagnose diseases. Many of techniques can achieve good performance on retinal feature that is clearly visible. Unfortunately, it is a normal situation that the color retinal images in Thailand are poor-quality images. The existing algorithm cannot de...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013