Detecting The Optic Disc Using Morphology And Histogram based Thresholding

Abstract

Optic disc (OD) detection is the most important step while developing an automated screening systems for certain diseases. However, it is a cumbersome task to locate Optic disc in all types of retinal images including normal, healthy images as well as abnormal images (images affected due to disease). This paper presents a method to automatically locate the Optic disc in digital retinal fundus images. The method adopted for the extraction of the optic disc contour is mainly based on mathematical morphology along with appropriate thresholding. This particular method follows multiple steps – in initial steps, pre processing of image is done using filtering and morphology operations, then optic disc is detected using thresholding. Pre processing techniques based on morphological operations includes dilation and erosion. The proposed algorithm gives excellent results and avoids false OD detection. This method is tested on standard databases (DRIONS-DB) provided for researchers on internet.

Authors and Affiliations

Amandeep Kaur , Reecha Sharma

Keywords

Related Articles

Image fusion by Denoising and Segmentation

With the recent rapid developments in the field of sensing technologies, multisensory systems have become a reality in a growing number of fields such as remote sensing, medical imaging, machine vision and the military a...

Predictive time series analysis of stock prices using neural network classifier

The work pertains to developing financial forecasting systems which can be used for performing an in-depth analysis of the stocks prices, downloading/importing data from the various locations and analyzing that data and...

Optimum Design of Composite Plates under Thermal Buckling Loads using Imperialist Competitive Algorithm

Thermal buckling loads of laminated composite plates are maximized for a given total thickness. Fiber directions and relative thickness of layers are considered as design variables. Analysis of buckling temperature is ca...

Implementing Phylogenetic Distance Based Methods for Tree Construction Using Hierarchical Clustering

Bioinformatics is a data intensive field of research and development. Key problem of knowledge discovery from large and complex databases is deal problem data mining. It is used to discover relationships and patterns in...

Analyzing Outlier Detection Techniques with Hybrid Method

Now day’s Outlier Detection is used in various fields such as Credit Card Fraud Detection, Cyber-Intrusion Detection, Medical Anomaly Detection, and Data Mining etc. So to detect anomaly objects from various types of dat...

Download PDF file
  • EP ID EP131773
  • DOI -
  • Views 237
  • Downloads 0

How To Cite

Amandeep Kaur, Reecha Sharma (2014). Detecting The Optic Disc Using Morphology And Histogram based Thresholding. International Journal of Computer Science & Engineering Technology, 5(6), 639-644. https://europub.co.uk/articles/-A-131773