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通過最小化一個加權均方誤差和目標函數(shù)提出的圖像閾值分割的迭代算法[5], 結合直方圖和Parzen窗技術提出的全局最優(yōu)圖像閾值分割算法[7]等. |
榮譽版主 (知名作家)
快樂島、布吉島島主
| The globally optimized image thresholding segmentation method was proposed combining the histogram and the window technique by minimizing a weighted mean square error and the iterative algorithm of the image thresholding segmentation presented by the objective function. |
榮譽版主 (知名作家)
快樂島、布吉島島主
榮譽版主 (知名作家)
快樂島、布吉島島主
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文獻[5]通過最小化一個加權均方誤差和目標函數(shù)提出的圖像閾值分割的迭代算法,文獻[7]結合直方圖和Parzen窗技術提出了全局最優(yōu)圖像閾值分割算法。 An iterative algorithm of the image thresholding segmentation was presented in Ref.5 by minimizing a weighted mean square error and the objective funtion[5], and a globally optimized image thresholding segmentation method was proposed in Ref. 7 by combining the histogram and the Parzen window technique[7]. |
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