Image Segmentation Using Genetic Algorithm and OTSU

  • Jyotika PruthiEmail author
  • Gaurav Gupta
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 437)


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.


Metaheuristic Genetic algorithm OTSU Non linear optimization 


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Copyright information

© Springer Science+Business Media Singapore 2016

Authors and Affiliations

  1. 1.Department of Computer ScienceThe Northcap UniversityGurgaonIndia
  2. 2.Department of Applied SciencesThe Northcap UniversityGurgaonIndia

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