这个就是散度公式了，告诉大家一些相似的东西，仅仅是对被闭合曲面包围的空间区域来讲的。
This one here, the divergence theorem, tells you something similar but now for a region of space bounded by a closed surface.
该算法首先计算人脸图像的相似度信息，并对得到的相似度图像进行二值化，从而标定人脸区域。
First the algorithm calculates the similarity information and gets the binary image to locate the face region.
讨论了区域的紧性和相邻区域之间颜色相似度的权重关系，并用于区域合并。
Finally, the weight between region compactness and color similarity among adjacent regions is discussed and used to merge regions.
根据分割区域的灰度、形状、位置等特征计算图像间的相似度。
According Segmentations' grey levels, shape, position, etc, characteristic to calculate the similarity of images.
并给出了利用半径描述子计算图像区域面积以及利用欧几里德距离判定边界相似度的方法。
A new method using Fourier radius descriptor to compute the area of image and using Euclidean distance to determine the similarity of boundary is educed too.
最后综合利用上述网格区域的颜色直方图和纹理直方图来计算图像间内容的相似度，用于进行彩色图像检索。
Finally, the similarity between color images is computed by using a combined feature index based on the color histogram and texture histogram for local grids.
实验结果表明该相似度距离描述缩小了相似度取值范围，增大了左心室区域与其它区域的区分程度。
The experiment results show that the description of the similarity distance reduces the similarity interval and increases the distinction between the left ventricular region and other regions.
实验结果表明该相似度距离描述缩小了相似度取值范围，增大了左心室区域与其它区域的区分程度。
The experiment results show that the description of the similarity distance reduces the similarity interval and increases the distinction between the left ventricular region and other regions.
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