A Review on Multilevel Thresholding using Genetic Algorithm and Ant Colony Optimization

Image segmentation is the technique in which an image into meaningful parts .It plays an important role in the image analysis and computer version. GA algorithm are evolutionary in nature so, it proved to be very time consuming. The genetic algorithm guarantees the local optimization but does not guarantees global optimization. The overall result depends on the selection of poor population may leads for poor segmentation. This paper has shown that existing segmentation tech suffers from various issues. So, to overcome the limitation of the GA based on the multilevel thresholding, in near future. Ant Colony based Optimization on multilevel thresholding segmentation algorithm will be proposed. The overall objective is to reduce the time complexity of the genetic based segmentation.