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中文摘要：
针对现有光顺算法在去除噪声的同时不能很好地保护好边缘拐角等细节信息的不足,提出了基于灰度图轮廓提取的磨光光顺算法,其采用改进的Laplace算子并经过预处理后对灰度图边缘进行提取,通过轮廓追踪获得图像边缘信息,然后只对非轮廓非细节部分进行光顺。试验结果表明,该方法降低了光顺算法的盲目性,有效地保留了原有数据的细节信息。
英文摘要：
In view of the deficiency that the current smoothing algorithms fail to protect the corners and edges satisfactorily while removing the noise,a smoothing method based on grey image extraction is proposed.The method adopts improved Laplace operator to extract the grey image edges after pretreatment,and obtain image edge information by tracking the contour before smoothing merely the non-contour non-detailed part.The experimental result shows that the method can help reduce the blindness of smoothing algorithms and effectively preserve the detailed information of original data.
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