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Feature Segmentation of Blood Vessels using Active Contour with Hybrid Region Information with Application to Retinal Images

Suri Sahithi*, G. Guru Prasad**

* PG Scholar, Department of Electronics and Communication Engineering, Sree Vidyanikethan Engineering College, Tirupathi, India.

** Assistant Professor, Department of Electronics and Communication Engineering, Sree Vidyanikethan Engineering College, Tirupathi, India.

Periodicity:January - March'2016

Abstract

Computerized detection of blood vessel structures is becoming one of the most interesting parts in the field of diagnosis of the vascular diseases. The objective of this paper is to introduce a novel filter, based on a new kernel function with Cauchy distribution to improve the accuracy of the automated retinal vessel detection. Moreover, for a good segmentation performance, the proposed model has the benefit of using distinct types of region information. The aim of the proposed model is to increase the accuracy of an image.

Keywords

Keywords: Cauchy Probability Density Function, Retinal Images, Vessel, Segmentation, Active Contour.

How to Cite this Article?

Sahithi, S., and Prasad, G.G. (2016). Feature Segmentation of Blood Vessels using Active Contour with Hybrid Region Information with Application to Retinal Images. i-manager’s Journal on Image Processing, 3(1), 37-43.

References

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Feature Segmentation of Blood Vessels using Active Contour with Hybrid Region Information with Application to Retinal Images

Abstract

Keywords

How to Cite this Article?

References

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