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Significance of Genetic Algorithms in Image Segmentation
2016
International Journal of Signal Processing, Image Processing and Pattern Recognition
Genetic Algorithms have been commonly getting used for solving mutually constrained and unconstrained optimization problems based on a natural selection process that imitates biological evolution. The algorithm repeatedly modifies a population of individual solutions until we get satisfactory results. The same procedures we would like to implement on large set of images and try to segment the images based on constraints and doing so we can improve the quality of image which can lead to proper image analysis.
doi:10.14257/ijsip.2016.9.4.16
fatcat:6xv324dmeja77hba22p7ifh7fi