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xiuzi0731銀蟲 (小有名氣)
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[求助]
自己翻譯的一段話，問題有點(diǎn)多啊，求助大神幫忙，可追加金幣啊,真的很著急！
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| Threshold processing is a kind of regional segmentation technology. It mainly use the gray-scale differences between the target object and the background of images to choose a suitable threshold. By judging the characteristics of （each pixel attributes） in the image whether satisfy the threshold requirements to determine the pixel of the image belong to the target area or the background area. Thereby resulting in a binary image, the object image and the background image has a strong contrast. The core issue of the threshold segmentation is how to choose a suitable threshold, therefore, how to select threshold value has become the hotspot in image processing, and put forward a variety of threshold selection methods. Wu et al. proposed a mathematical morphology method, erosion operation that in Suggestions were put forward minimum cost function under the premise of iterative automatic segmentation algorithms. Reference Wu's algorithm, in this paper, combined the best iterative thresholding algorithm and the corrosion algorithm to segment tissue cell microscope image. |
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xiuzi0731
銀蟲 (小有名氣)
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Wu et al. proposed a mathematical morphology method[12], erosion operation that in Suggestions were put forward minimum cost function under the premise of iterative automatic segmentation algorithms. Reference Wu's algorithm, in this paper, combined the best iterative thresholding algorithm and the corrosion algorithm to segment tissue cell microscope image. Wu等提出了數(shù)學(xué)形態(tài)學(xué)、腐蝕運(yùn)算在建議代價函數(shù)最小前提下的迭代自動分割算。參考Wu的算法，本文結(jié)合迭代最佳閾值法和腐蝕算法對組織細(xì)胞顯微鏡圖像進(jìn)行分割。 |
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