Segmentation by an Improved Mathematical Morphology Approach

Authors

Abdellatif Bouzid-Daho, Images, Signals and Intelligent Systems Laboratory (LISSI), University UPEC, Creteil, FranceFollow
Mohamed Boughazi, LERICA Laboratory, Badji Mokhtar University, Annaba, AlgeriaFollow
Toufik Hafs, LERICA Laboratory, Badji Mokhtar University, Annaba, AlgeriaFollow

Author Country (or Countries)

France

Abstract

Current researches in medical diagnosis, chemotherapy, surgery and medical therapy need, use bio-images to detect diseases. Research objective is to increase the recognition rate of abnormal blood cells. For that, we have employed some morphological operators. We have developed an algorithmic processing which essentially focuses on the detection, the description, and characterization of abnormal objects. The proposed approach facilitates the interpretation and the pathologies diagnostic of the abnormal blood cells. Experimental results which are adopted by the proposed method are very satisfactory for cancer cells detection.

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/amis/140511

Recommended Citation

Bouzid-Daho, Abdellatif; Boughazi, Mohamed; and Hafs, Toufik (2020) "Segmentation by an Improved Mathematical Morphology Approach," Applied Mathematics & Information Sciences: Vol. 14: Iss. 5, Article 11.
DOI: http://dx.doi.org/10.18576/amis/140511
Available at: https://digitalcommons.aaru.edu.jo/amis/vol14/iss5/11