A Survey on Evolutionary Optimization Approaches towards Medical Image Segmentation using Thresholding
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In medical image processing, image segmentation has strong role to play. What image segmentation does that it splits medical image into finite number of parts such that it is easier to analysis the region we are looking for in the medical image that is Region of Interest (ROI). Image segmentation in medical image processing is basically needed for identifying abnormalities in biomedical anatomy and help doctor and physician for diagnose. Image thresholding is an elementary method for digital image segmentation based on optimum intensity or threshold value. A computer aided autonomous process where threshold value can be obtained through a fitness function such as maximum entropy method, k-means clustering and so on. Now all it needs to optimise the fitness function using any optimisation method.
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