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8 June 2023 Image segmentation algorithm based on cumulative residual Tsallis entropy
Yue Tian, Jing Liu, Jiulun Fan
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Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 127074R (2023) https://doi.org/10.1117/12.2681023
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China
Abstract
An algorithm which applies Cumulative Residual Tsallis Entropy (CRTE) to threshold image segmentation is proposed. Cumulative residual Tsallis entropy is an uncertainty measure generalized from Shannon entropy. The approach utilizes the cumulative residual Tsallis entropy function as the objective function, specifies the threshold segmentation criterion, and finds the optimal cumulative residual Tsallis entropy function solution. This method is applied to Berkeley Segmentation Dataset and compared with several classical segmentation methods on the same dataset. Experiment findings suggest that this algorithm is capable of producing improved segmentation results.
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Yue Tian, Jing Liu, and Jiulun Fan "Image segmentation algorithm based on cumulative residual Tsallis entropy", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 127074R (8 June 2023); https://doi.org/10.1117/12.2681023
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KEYWORDS
Image segmentation
Image processing algorithms and systems
Image information entropy
Image processing
Image analysis
Image quality
Information theory
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