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Trading strategies for image segmentation using multilevel thresholding aided with minimum cross entropy
2020
Engineering Science and Technology, an International Journal
Multilevel thresholding (MLT) is one of the most widely used methods in image segmentation. However, the exhaustive search method is computationally time consuming for selecting the optimal thresholds. Consequently, heuristic algorithms are extensively used to reduce the complexity of the MLT problem. In this paper, an efficient Exchange Market Algorithm (EMA) is proposed to segment images using minimum cross entropy thresholding method. In the EMA, a market risk variable is used to balance the
doi:10.1016/j.jestch.2020.07.007
fatcat:5zfeqeyccvextc5xago7diwblq