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1.An Algorithm of Edge Detection Based on Bi- threshold Entropy Operator
一种双阈值熵算子边沿检测算法收藏指正
2.Automated threshold was taken and then adjusted manually by the operator. The pixels of the area was calculated and converted into actual area in mm 2 by the pixels of 1 mm 2 in damaged area.
利用CPAS的计算功能算出该面积的像素数 ,并转化为实际面积mm2 。收藏指正
3.Based on these algorithms, and consider the property of the arc image, we proposed a new multi-stage algorithm. The proposed algorithm involves the class separability criterion in pattern recognition, and double-threshold method and non-maximum suppression proposed in Canny operator.
并在这些算法的基础上，基于电弧图像的特点，提出了一种改进的多阶段边缘检测算法，这个算法中应用到模式识别中的类别可分离判据的理论，并使用了Canny算法所中提出的双阈值法和非极大值抑制方法等等。收藏指正
4.Comparing most singular manifold extracted from 5×5 sub-pixel method and edge from Sobel operator(default threshold: 36.7920),the peak signal-to-noise ratio is 9.3981 dB,when the algorithm is used in standard image segmentation.
此方法用于标准图像的分割中,选用5×5亚像素数目提取的最奇异性集合与索贝尔(Sobel)算子(默认阈值为36.7920)提取的边缘的峰值信噪比为9.3981 dB。收藏指正
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