Skip to main content
WorldCist'18 - 6th World Conference on Information Systems and Technologies

Full Program »

A Novel Curvature Feature Embedded Level Set Method For Image Segmentation of Coronary Angiograms

Segmentation methods in medical image processing are usually distorted by low contrast and intensity inhomogeneity. There are several image segmentation methods which are based on region based segmentation. But these algorithms mostly depend on the quality of the image. This paper gives an improved level set method for image segmentation to reduce the effect of noise. In order to achieve this, curvature feature energy function in standard level set energy function has been used. The proposed method is being applied on heart angiograms provided by Cardiac Department ISRA University Hospital, Pakistan. Extensive evaluation of these images depicts the robustness and efficiency of the proposed method over the previous work. Moreover, this method gives better trade-off between accuracy and implementation time over the related work.

Mehboob Khokhar
Mehran University of Engineering and Technology Jamshoro

Shahnawaz Talpur
Comuter Systems Department Mehran University of Engineering and Technology Jamshoro

Sunder Ali Khowaja
Department IICT Sindh University Jamshoro, Sindh, Pakistan

Rizwan Ali Shah
Department of Telecommunication Mehran University of Engineering & Technology Jamshoro, Sindh, Pakistan


Powered by OpenConf®
Copyright ©2002-2017 Zakon Group LLC