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| 本帖產(chǎn)生 1 個 翻譯EPI ，點擊這里進(jìn)行查看 | ||
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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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phu_grassman
榮譽(yù)版主 (知名作家)
快樂島、布吉島島主
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【答案】應(yīng)助回帖
★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★
RXMCDM: 金幣+5, 多謝應(yīng)助！ 2014-08-30 23:14:59
xiuzi0731: 金幣+15, 翻譯EPI+1, ★★★很有幫助 2014-08-31 01:35:18
RXMCDM: 金幣+5, 多謝應(yīng)助！ 2014-08-30 23:14:59
xiuzi0731: 金幣+15, 翻譯EPI+1, ★★★很有幫助 2014-08-31 01:35:18
|
Threshold processing is a kind of regional segmentation method. A suitable threshold can be chosen based on the gray-scale differences between the target object and the background in the image. By judging whether each pixel attribute satisfies the threshold requirements, one can determine the pixel of the image belongs to the target area or the background area. This results in a binary image, the object image and the background image with a strong contrast. The core issue in threshold segmentation is how to choose a suitable threshold value, which has also become the hotspot in image processing, and led to a variety of threshold selection methods. Wu et al. proposed a mathematical morphology method. They suggested the erosion operation with minimum cost function under the premise of iterative automatic segmentation algorithms. In this paper, we proposed the best iterative thresholding algorithm and the corrosion algorithm to segment the microscopic image of histocyte combined with Wu's algorithm. |
xiuzi073116樓2014-08-30 22:06:22
自私的貓1988
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2樓2014-08-30 14:50:38
自私的貓1988
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3樓2014-08-30 14:54:57
自私的貓1988
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4樓2014-08-30 14:58:16
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