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[求助]
自己翻译的一段话，问题有点多啊，求助大神帮忙，可追加金币啊,真的很着急！
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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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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等提出了数学形态学、腐蚀运算在建议代价函数最小前提下的迭代自动分割算。参考Wu的算法，本文结合迭代最佳阈值法和腐蚀算法对组织细胞显微镜图像进行分割。 |
7楼2014-08-30 15:26:21
自私的猫1988
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2楼2014-08-30 14:50:38
自私的猫1988
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3楼2014-08-30 14:54:57
自私的猫1988
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4楼2014-08-30 14:58:16
