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- W2080594345 abstract "In this paper, we propose a method to extract the area of appendix from ultrasonographic image via computational vision. A series of image processing techniques such as Ends-in search stretching for enhancing the brightness contrast, block binarization, grassfire algorithm for extracting lower part of fascia, and fuzzy sigma binarization method to finalize the appendix area are used to achieve our goal. The strength of this paper is using fuzzy sigma binarization instead of other binarization technique to handle the sensitivity of extracting the target area from regio hypogastrica. The experiment verifies the efficacy of the proposed method successfully." @default.
- W2080594345 created "2016-06-24" @default.
- W2080594345 creator A5060216286 @default.
- W2080594345 date "2013-06-30" @default.
- W2080594345 modified "2023-09-26" @default.
- W2080594345 title "Extraction of Appendix from Ultrasonographic Images using Ends-in Search Stretching and Fuzzy Sigma Binarization" @default.
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- W2080594345 doi "https://doi.org/10.6109/jkiice.2013.17.6.1281" @default.
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