本文完成的主要工作有：1．获取灰度图像函数；
The main work completed in the paper is listed as following:1. Image function acquisition-, 2.
该函数按时间反向移动各帧，从图像序列的最后一幅到最前一幅。
This function moves each frame back in time from the last image in the sequence to the first.
在这个例子中，我们将针对一副数字图像的像素平均色值创建函数索引。
In this example, we create functional indexes on the average color values of the pixels in a digital image.
这个例子演示了如何使用函数索引选择具有某些特征的图像。
This example demonstrates how functional indexes can be used to select images with certain characteristics.
该表是目录列表的可视化表示，因此需要一个函数列出目录中的所有图像。
Since the table is a visual representation of a directory listing, we need a function to list all the images in a directory.
在创建函数索引时，将执行与其相关的UDR来对图像进行预处理，并将结果作为索引键保存。
When each functional index is created, its associated UDR is executed to pre-process the images and store the results as the index key.
星星(点光源)的亮度只是望远镜孔径的函数-孔径越大，图像越亮。
The brightness of stars (point sources) is only a function of telescope aperture-the larger the aperture, the brighter the images.
同样我们可以，用这个图像来考虑，从画轴上的波函数来考虑。
Again we can look at this in terms of thinking about a picture this way, in terms of drawing the wave function out on an axis.
那就是通常意义下的水平面，如果函数本身有趣一点的话，图像也会有趣一点的。
That's what you would expect for a horizontal plane just from common sense This is more interesting, of course, if a function is more interesting.
我们已经知道，怎样通过图像去了解二元和三元函数。
We have learned how to think of functions of two or three variables in terms of plotting them.
这个式子的值对应于三维空间中,函数图像下方,所有小柱体的体积之和。
So, what that corresponds to in the three-dimensional picture is just I sum the volumes of all of these little columns that sit under the graph.
在本例中，使用简单的HTML标记来拉入图标图像，使用jQuery将一个匿名的函数追加到该图像。
In this example, you use simple HTML tags to pull in icon images and jQuery to attach an anonymous function to that image.
最后的标记定义了一个图像数组，然后使用load_slides和start_slides函数启动幻灯片放映。
The last tag defines an array of images, and then USES the load_slides and start_slides functions to start the slide show.
SELECT查询在查询过滤器中指定图像处理函数，现在，这些查询的运行速度得到了提高，因为它们使用索引判断每个元组(tuple)是否满足查询。
SELECT queries that specify image processing functions in their query filters now run faster because they use the index to determine whether or not each tuple satisfies the query.
在保存所有图像之后，检查需要处理的图像的最少数量将触发对delayrotate函数的调用，该调用支持超时。
After each image is saved, a check for a minimum number of images to process will trigger a timeout-enabled call to the delayRotate function.
调用 delayRotate函数之前，需要等待的毫秒数由等待每个图像的 200 毫秒决定。
The number of milliseconds to wait before calling the delayRotate function is determined by simply waiting 200 milliseconds for each image.
使用机器人的图像传感器无条件地定位控制杆，以打开发动机盖(locate函数)。
Use the robot's image sensor to unconditionally locate the lever to open the hood (locate function).
在开始处理客户到服务器的连接前，需要首先确保图像能调用函数。
Before you start dealing with client-to-server connections, you've got to make sure your images call a function. So let's start with a simple placeholder JavaScript function.
如果我有一个点，任意一点，我可以用2个平面把函数图像切开，一个是沿x方向，一个沿y方向。
OK, so, if I have a point, at any point, I can slice the graph of my function by two planes, one that's going along the x, one along the y direction.
水平面上的方程，都是z等于某个常数的形式，等等。，z，equals，zero，z，equals，one，，z，equals，two，，and，so，on。,函数的图像,在那里就是这样的表现。
So, horizontal planes have equations of a form z equals some constant, z=0 z=1 z=2 So, maybe the graph of my function will be some sort of plot out there.
当然我们还不能看到，三元函数的图像，因为它处在一个四维空间里。
Except, of course, we haven't see the graph of a function of three variables because that would live in 4-dimensional space.
我们学过怎样认识二元函数,从它的图像和等高线的角度来看。
we've seen is how to actually view a function of two variables in terms of its graph and its contour plot.
使用机器人的手臂拉发动机控制杆(activate函数)，然后使用图像传感器定位机器人在发动机盖上的位置(locate函数)。
Use the robot's arm to pull the hood lever (activate function), and then use the image sensor to position the robot at the hood (locate function).
要注意的是，get _ meta_data函数中还使用getimagesize(一个核心php函数，不需要GD)计算图像的大小。
Note that in the get_meta_data function, you also used getimagesize (a core PHP function; GD not required) to calculate the dimensions of the image.
我们用函数的切平面来替代它的图像。
此函数提供了去掉边缘锯齿的功能，虽然牺牲了速度，却改进了图像的质量。
This function provides anti-aliasing of the edges and improves the quality of the image at the cost of speed.
如果你认真考虑那个方程，你会发现这个事实，是的，我们知道它应该是这样，看到了吧，这些是猜测函数的图像的有用的方法。
Now, if you stare long enough at that equation, you'll actually see that, yes, we know that it had to be like that. But, see, so these are useful ways of trying to guess what the graph looks like.
有这样的函数图像-，当沿着图像上的这个方向变化时，试问函数值变化的有多快？
And, I have the graph of my function — and I'm asking myself how quickly does the value change when I move on the graph in that direction?
本文基于模糊数学理论，建立了水声图像的模糊特征矩阵，并采用正弦模糊分布函数对真实的水声图像进行了增强处理。
This paper defined the matrix of fuzzy characteristics of sonar images based on the theory of fuzzing mathematics, and enhanced the image by using the sine fuzzy function.
通过分析函数的一阶导数与二阶导数图像的特征，提出了一种含有权值的图像边缘锐化的新算法。
By analyzing the characteristics of the function's once and quadratic differential coefficient's image, a new algorithm of images' edge sharpening which contains weights.
应用推荐