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Edge detection and contour tracing of medical cell images

机译:医用细胞图像的边缘检测和轮廓追踪

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It is important for medicine cell image to detect edge and trace contour In the process of recognition. The method of equilibrium is used to improve the contrast between the target and the background for giving prominence to the target at the beginning in this paper. Then edges in the image are detected with Canny operator, followed by edge figures processing that utilizes fundamental transform processing in mathematical morphology. Finally, it makes use of eightdirection chain code searching algorithm to trace contour, and carry on vectorization to the traced contour by using improved variable-step-length algorithm in order to keep and recognize cells further. Better experimental results are obtained by utilizing this method on edge detection and contour tracing of cell images.
机译:在识别过程中检测边缘和痕量轮廓是重要的。 平衡方法用于改善目标与背景之间的对比度,以便在本文开始时突出目标。 然后用罐头运算符检测图像中的边缘,然后是边缘图处理,其利用基本变换处理在数学形态学中。 最后,它利用了八个转向链码搜索算法来跟踪轮廓,并通过使用改进的可变步长算法来携带向跟踪轮廓的矢量化,以便进一步保持和识别小区。 通过利用该方法对细胞图像的边缘检测和轮廓追踪来获得更好的实验结果。

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