Hybrid framework based on evidence theory for blood cell image segmentation

Ismahan Baghli; Amir Nakib; Elie Sellam; Mourtada Benazzouz; Amine Chikh; Eric Petit

doi:10.1117/12.2042142

13 March 2014 Hybrid framework based on evidence theory for blood cell image segmentation

Ismahan Baghli, Amir Nakib, Elie Sellam, Mourtada Benazzouz, Amine Chikh, Eric Petit

Proceedings Volume 9038, Medical Imaging 2014: Biomedical Applications in Molecular, Structural, and Functional Imaging; 903815 (2014) https://doi.org/10.1117/12.2042142
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

Abstract

The segmentation of microscopic images is an important issue in biomedical image processing. Many works can be found in the literature; however, there is not a gold standard method that is able to provide good results for all kinds of microscopic images. Then, authors propose methods for a given kind of microscopic images. This paper deals with new segmentation framework based on evidence theory, called ESA (Evidential Segmentation Algorithm) to segment blood cell images. The proposed algorithm allows solving the segmentation problem of blood cell images. Herein, our goal is to extract the components of a given cell image by using evidence theory, that allows more flexibility to classify the pixels. The obtained results showed the efficiency of the proposed algorithm compared to other competing methods.

Citation Download Citation

Ismahan Baghli, Amir Nakib, Elie Sellam, Mourtada Benazzouz, Amine Chikh, and Eric Petit "Hybrid framework based on evidence theory for blood cell image segmentation", Proc. SPIE 9038, Medical Imaging 2014: Biomedical Applications in Molecular, Structural, and Functional Imaging, 903815 (13 March 2014); https://doi.org/10.1117/12.2042142

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available