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