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[求助]
一段話翻譯，求助啊！
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| 把迭代閾值分割所得的二值圖像G1求反得到G2，再把G1進行一次膨脹運算得到G3，用G2減去G3得到新的圖像G4。在圖像G4中尋找一個小面積區(qū)域，使其面積值適當，剔除組織細胞二值圖像中大部分的偽區(qū)域。此處，選定區(qū)域面積值指的是圖像中像素的像素值，是指像素點的大小，不是實際的區(qū)域面積值。經過分析大量的實驗結果可知，選取10鄰域、面積值為200的小區(qū)域剔除偽區(qū)域的效果比較理想。 |
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RXMCDM: 金幣+1, 多謝應助！ 2014-10-03 00:55:38
xiuzi0731(RXMCDM代發(fā)): 金幣+15, 多謝應助！ 2014-11-09 10:27:36
RXMCDM: 金幣+1, 多謝應助！ 2014-10-03 00:55:38
xiuzi0731(RXMCDM代發(fā)): 金幣+15, 多謝應助！ 2014-11-09 10:27:36
| G2 and G3 were obtained from G1, a binary image produced by iterative threshold segmentation, by negation and dilation, respectively. A new image G4 was then obtained by subtraction of G3 from G2. A small region with an appropriate area value in image G4 was selected and most of the dummy area of the tissue and cell binary image was excluded. It should be noted that the area value in the selected region referred to pixel value rather than the actual size of the area. After analyzing a large number of experimental results, it was concluded that ideal results could be obtained by selection of 10 small neighboring regions each with an area value of 200 without dummy areas. |
2樓2014-10-02 22:54:25
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