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NEWS AND EVENTS

29 November 2016

Attention to Authors

The Volume 1, Number 2, November 2016 issue of IJARCE has been published and hardcopies have been sent to authors. Notice that, arrival process of the hardcopies, to your addresses, will takes between 12 to 30 days depending on your country of origin.

 

10 October 2016

Attention to Authors

The Volume 1, Number 1, September 2016 issue of IJARCE has been published and hardcopies have been sent to authors. Notice that, arrival process of the hardcopies, to your addresses, will takes between 5 to 30 days depending on your country of origin.

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A New Hybrid of Active Contour and Multiphase Level Set Models for Segmenting of Medical Images: A Case Study

Artical 15 ; volume1 ; number2 ; Page: 57-67 ; PDF Download

Authors

Siamak Abdehzadeh, Naser Sharifi, Barfab Wafaee, Majid Habibi, Mohammad Hosntalab

Department of Computer Engineering, Boukan Branch, Islamic Azad University, Boukan, Iran.

Department of Computer Engineering, Boukan Branch, Islamic Azad University, Boukan, Iran.

Department of Computer Engineering, Baneh Branch, Islamic Azad University, Baneh, Iran.

Department of Computer Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran.

Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Abstract

Medical images segmentation due to the increasing volume of this images is difficult and in accessible to human. with development of image processing we can use computers to help. Segmentation of the early stages of image processing are very well regarded. In this paper, a combination method based on level set and active contour models have been proposed to achieve more accurate image in image processing. The selected dataset contains different slices that in this article 8 slices have been selected for testing. The proposed algorithm was applied on these slices and it has been compared with previous methods. The results have been tested on MRI images of the brain and this results show that the proposed method is better than other methods proposed before.

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