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Cell-edge detection method based on canny algorithm and mathematical morphology

机译:基于canny算法和数学形态学的细胞边缘检测方法

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Based on Canny operator and mathematical morphology, a new cell-based method for extracting the edge, being crucial to subsequent target feature extraction and image matching recognition, has been discussed in this paper. The image edge of cell is estimated by the Canny algorithm and then mathematical morphology is used for dilation which filled the fracture of the edge, with that the internal pore of the cell image is filled. Finally, smoothing is operated by mathematical morphology. The experimental results demonstrate clearly that the proposed approach is more superior to the traditional differential operator and Canny edge detection method.
机译:本文基于Canny算子和数学形态学,讨论了一种新的基于单元格的边缘提取方法,该方法对于后续的目标特征提取和图像匹配识别至关重要。细胞的图像边缘通过Canny算法进行估计,然后使用数学形态学进行填充,填充边缘的裂缝,从而填充细胞图像的内部孔。最后,通过数学形态学进行平滑处理。实验结果清楚地表明,该方法优于传统的差分算子和Canny边缘检测方法。

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