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- W4376852306 abstract "Maximum entropy thresholding on circular histogram is a color image thresholding method, which makes full use of the color information of the hue H component in the image HSI color space and can effectively separate the target from the background. However, there are problems of large computational effort and long computation time in the multi-threshold case. In this paper, dynamic programming is used to optimize the numerical computation in the segmentation process of the multi-threshold maximum entropy method, and the circular histogram maximum entropy multi-threshold method based on dynamic programming is given. Experimental comparison with the circular histogram maximum entropy recursive algorithm shows that the performance of the two fast algorithms is comparable at double thresholding; however, the dynamic programming-based maximum entropy on circle thresholding method is faster than the recursive-based maximum entropy on circle thresholding method when the number of thresholds is greater than 2." @default.
- W4376852306 created "2023-05-18" @default.
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- W4376852306 date "2022-09-23" @default.
- W4376852306 modified "2023-09-27" @default.
- W4376852306 title "Maximum Entropy Multi-threshold Recursive Algorithm for Circular Histograms Based on Dynamic Programming" @default.
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- W4376852306 doi "https://doi.org/10.1145/3573942.3574100" @default.
- W4376852306 hasPublicationYear "2022" @default.
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