求翻译：其中， x和 y是一阶导数，w反映的是元素的灰度变化， 是高斯窗在位置 处的系数。Harris角点检测算法是一种有效地特征点算法。是什么意思？

Which, x and y is a derivative, w is the element of gray reflect changes in the Gaussian window in the position of the coefficient. Harris corner detection algorithm is an effective feature-point algorithm.

where X and Y, and W is a derivative of the elements reflect the grayscale change in location is a factor Gaussian window. Harris point point detection algorithm is an effective feature point algorithm.

Among them, x and y is the first derivative, w reflects is the element gradation change, is the Gauss window in the position coefficient.The Harris vertex examination algorithm is one kind of effectively characteristic point algorithm.

Where x and y is the first derivative, w reflects elements of variations of gray, is the Gaussian coefficient at the location of the window. Harris corner detection algorithm is an efficient algorithm for feature points.

Among them, x and y are a steps of derivatives, w reflects the grey level change of the element, it is one gauss of coefficients at seat of window. It is a kind of some algorithms of characteristic effectively that some Harris angles detect the algorithm.