中文说明：资源描述传统最大类间方差只考虑了一维直方图的灰度信息，虽然计算较为简单，算法较为经典，但是不能考虑到图像的空间位置信息，所以会导致分割的不准确，而二维最大类间方差则克服了以上缺点，它较为全面的考虑了图像的空间位置信息，但同时也带来了计算量较大，所需内存空间较多，运算速度较慢的缺点。
English Description：
Application backgroundTraditional maximum between class variance to consider only the one-dimensional histogram of gray information, while the calculation is simple, algorithm is more classical, but cannot take into account the spatial information of the image, it will lead to segmentation of inaccurate, and 2D maximum between cluster variance overcomes the shortcomings mentioned above, it comprehensively considered the spatial information of the image, but at the same time, it also brings large amount of calculation, the required more memory space and computational speed slower shortcomings.