实现了用拉普拉斯实现锐化，有效果图，大家可以看一下。
Realize the use of Laplacian sharpening realize, have the effect of map, we can look at.
拉普拉斯矩阵对研究图论之所以重要，是因为可以用其特征值来估计图的诸多不变量，如连通度、直径、带宽等等。
The study of Laplacian matrix is important for graphs 'study because we can estimate many invariants of g, such as connectedness, diameter, bandwidth.
本系统对采集到的齿轮实物图进行处理，通过对比多种边缘检测方法，选择了效果较好的高斯拉普拉斯方法进行齿轮的边缘检测。
Gear's image is processed by system and several diversified algorithms of edge detection are compared, LoG algorithm is chosen in paper because of its good results.
研究了图的正规拉普拉斯矩阵特征值与图的坚韧度，并给出了它们之间的不等式关系。
In this paper, the eigenvalues of the normalized Laplacian and the toughness of graphs are studied and the relation of inequality between of them is given.
研究了图的正规拉普拉斯矩阵特征值与图的坚韧度，并给出了它们之间的不等式关系。
In this paper, the eigenvalues of the normalized Laplacian and the toughness of graphs are studied and the relation of inequality between of them is given.
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