梯度的计算（Gradient computation） 最常用的方法是：简单地使用一个一维的离散微分模板（1-D centered, point discrete derivative mask）在一个方向上或者同时在水...
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确定每个高度的相关颜色梯度，提取每个像素的高度数据，然后将第二级图像分层以生成计算出的高度图像。
The associated color gradients are determined for each altitude, height data for each pixel is extracted, then the secondary image is sliced to produce the computed altitude images.
由上次的测试可知，如果一个东西是保守的，要确定是不是梯度，我们只需要计算旋度，查看它是否是。
The test that we saw last time saying, well, to check if something is a gradient field if it's conservative, 0 we just have to compute the curl and check whether it's zero.
如果有一个梯度场，然后想计算线积分，我知道积分值是,起点的函数值减去终点的函数值。
Well, if I have a gradient field, then if I try to compute this line integral, I know it will be the value of the function at the end point minus the value at the starting point.
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