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Selection of Optimal Threshold in Digital Images using Collision Entropy and Min EntropyBy Parmeet Kaur
Abstract: AbstractImage segmentation partitions an image into multiple segments based on properties of discontinuity and similarity. Thresholding is one of the important methods for image segmentation. It is used to discriminate foreground from the background of an image. The selection of suitable threshold value in the image is a challenging task. Thresholding value depends upon the randomness of intensity distribution of the image. Entropy is a parameter to measure the randomness …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 4, Issue 2, 2017 · pp. 25–31 Read article →