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Research on the detection method of tangible components' outer edge information in urine sediment micro-image based on fusion algorithm

机译:基于融合算法的尿沉渣显微图像中有形成分外边缘信息检测方法研究

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Objective Using the fusion algorithm of edge detection operator Canny and Sobel method, the outer edge information detection of different tangible components in the conventional urine sediment microscopic image was completed. Method Firstly, the images are preprocessed by gray scale, neighborhood filtering and median filtering. Then, the edges were superimposed by Canny and Sobel operators. Finally, the visible components were obtained by expansion etch and hole filling. Results The fusion algorithm could be used for edge detection of tangible components with uniformity inconsistencies. Conclusion The effect of the fusion algorithm on the outer edge was significantly better than that of single algorithm.
机译:目的利用边缘检测算子Canny和Sobel方法的融合算法,完成了常规尿沉渣显微图像中不同有形成分的外边缘信息检测。方法首先,通过灰度,邻域滤波和中值滤波对图像进行预处理。然后,边缘由Canny和Sobel运算符叠加。最后,通过膨胀蚀刻和孔填充获得可见组分。结果融合算法可用于有均匀性不一致的有形部件的边缘检测。结论融合算法在外边缘的效果明显优于单一算法。

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