Image Segmentation Using Genetic Algorithm and OTSU
Image Segmentation exists as a challenge that aims to extract the information from the image, making it simpler to analyze. There are some major issues associated with the conventional segmentation approaches. To come up with an improvised solution, image segmentation can be modeled as a nonlinear optimization problem which is also very difficult to be solved as global optimization. So to deal with this problem, we present metaheuristic algorithm namely Genetic Algorithm and its combination with OTSU giving the better results. These results have been analyzed with the help of parameters namely Threshold values, CPU Time and Region Non Uniformity.
KeywordsMetaheuristic Genetic algorithm OTSU Non linear optimization
- 2.Zanaty, EA, Ghiduk, A.S.: A novel approach based on genetic algorithms and region growing for magnetic resonance image (MRI) segmentation. J. Comput. Sci. Inform. Syst. (ComSIS), 10(3). doi: 10.2298/CSIS120604050Z(2013)
- 3.Maulik, U.: Medical image segmentation using genetic algorithms. IEEE Trans. Informa. Technol. Biomed. 13(2) (2009)Google Scholar