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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. |
榮譽(yù)版主 (知名作家)
快樂島、布吉島島主
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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. |
榮譽(yù)版主 (文壇精英)
榮譽(yù)版主 (文壇精英)
榮譽(yù)版主 (文壇精英)
銀蟲 (小有名氣)
銀蟲 (小有名氣)
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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. 它主要通過圖像的前景和背景之間的灰度差來選取一個(gè)合適的閾值。通過判斷圖像中每個(gè)像素的特征是否滿足閾值要求來決定這個(gè)像素是屬于前景還是背景。從而得到一個(gè)前景和背景有著強(qiáng)烈反差的二值圖像。 |
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(jià)函數(shù)最小前提下的迭代自動(dòng)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(duì)組織細(xì)胞顯微鏡圖像進(jìn)行分割。 |
銀蟲 (小有名氣)
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現(xiàn)在只需要修改“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(jià)函數(shù)最小前提下的迭代自動(dòng)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(duì)組織細(xì)胞顯微鏡圖像進(jìn)行分割! 謝謝各位了啊 金幣全給了 還可追加 |
榮譽(yù)版主 (文壇精英)
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Referring to Wu's, in this paper, we present a method for segmenting cell microscope image of tissue combining the best iterative thresholding algorithm and the corrosion algorithm. 個(gè)別專業(yè)詞匯你斟酌一下 |
銀蟲 (小有名氣)
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