New Local Region Based Model for the Segmentation of Medical Images

IEEE Access

卷:8

Mati Ullah¹  Noor Badshah¹  Nasru Minallah²  Syed Inayat Ali Shah³  Hadia Atta³  Sobia Attaullah⁴ 

[1] Department of Basic Sciences, University of Engineering and Technology Peshawar, Peshawar, Pakistan;

[2] Department of Computer Systems Engineering, University of Engineering and Technology Peshawar, Peshawar, Pakistan;

[3] Department of Mathematics, Islamia College Peshawar, Peshawar, Pakistan;

[4] Department of Zoology, Islamia College Peshawar, Peshawar, Pakistan;

关键词: Gaussian processes;    image segmentation;    intensity inhomogeneity;    level set method;    variational techniques;   

DOI  :  10.1109/ACCESS.2020.3026143

来源: DOAJ

【 摘 要 】

Segmentation of images having inhomogeneous intensities is always challenging. In this paper, we propose a model based on new local data statistics using local means and variances for detection of region of interest in medical images suffered from intensity inhomogeneity. This is done by introducing a new probability density function based on coefficient of variation, which is a best measure for inhomogeneous data. The new energy functional in the proposed model is then expressed in terms of level set function and is minimized for optimal energy. Minimization of the energy will lead to a partial differential equation, which is solved by using well known explicit method. Results of the proposed model are compared with other state of the art models and found that the proposed model outperform other existing models. Comparison is given in both qualitative and quantitative way. Furthermore, the proposed model is tested on different type of medical images like MRI, CT, Mammogram and skin lesion etc.

【 授权许可】

Unknown