Theoretical and Experimental Evaluation of Hybrid ACO-k-means Image Segmentation Algorithm for MRI Images Using Drift-analysis

Author:

El-Khatib S.A.,Skobtsov Y.A.,Rodzin S.I.

Publisher

Elsevier BV

Subject

General Engineering

Reference11 articles.

1. Digital Image Processing;Gonzalez,2008

2. Introduction to Digital Image Processing;Pratt,2013

3. System of Medical Image Segmentation Using Ant Colony Optimization;El-Khatib;St. Petersburg state polytechnic university journal "Computer Science. Telecommunications and control systems",2015

4. El-Khatib S, Rodzin S, Skobtcov Y. Investigation of Optimal Heuristical Parameters for Mixed ACO-k-means Segmentation Algorithm for MRI Images. In: Proceedings of III In-ternational Scientific Conference on Information Technologies in Science, Management, Social Sphere and Medicine (ITSMSSM 2016), Part of series Advances in Computer Science Research. Atlantis Press; 2016; 51, p. 216-221. DOI:10.2991/itsmssm-16.2016.72

5. Dorigo M. Optimization, Learning and Natural Algorithms. Phd Thesis, Politecnico de Milano; 1992.

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