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labview8.0不装max,利用VideocapX.ocx采集,在笔记本上直接运行,利用笔记本的摄像头采集.-labview8.0 not install max, use VideocapX.ocx collection, run directly on a laptop, use laptop camera acquisition.
Date : 2025-12-28 Size : 788kb User : liguoping

DL : 0
概述:演示使用的采样压缩Express VI的。 说明: 1,运行VI。 2,具有噪音阴谋的正弦包含100个样本。 3,与噪声(最大)的情节是正弦波采样压缩的结果,配置了10折减系数和最大的还原方法。 4,打开框图。在采样压缩的Express VI单击鼠标右键,从菜单中选择属性。 5,实验用的样品压缩的Express VI的其他配置选项。-Overview: Demonstrates the use of the Sample Compression Express VI. Instructions: 1. Run the VI. 2. The Sine with Noise plot contains 100 samples. 3. The Sine with Noise (Max) plot is the result of Sample Compression, configured with a reduction factor of 10 and a reduction method of Maximum. 4. Open the block diagram. Right-click on the Sample Compression Express VI and select Properties from the menu. 5. Experiment with the other configuration options for the Sample Compression Express VI.
Date : 2025-12-28 Size : 53kb User : 杨昆明

DL : 0
find point max and min the video. this file to alignment fibre-find point max and min the video. this file to alignment fibre
Date : 2025-12-28 Size : 978kb User : mohammad

DL : 0
创建一个数组,确定数组的维数和元素的个数及数值大小,确定最大和最小索引值后,在数组中寻找到最小值和最大值,并显示出来-Create an array, to determine the dimensions of the array and the number of elements and numerical size, determine the index of maximum and minimum values, find the minimum and maximum values in the array, and displayed
Date : 2025-12-28 Size : 6kb User : zhangyan

Max_MIN operation in labview
Date : 2025-12-28 Size : 4kb User : Pravat

从经典的Harris角点检测方法不难看出,该算法的稳定性和k有关,而k是个经验值,不好把握,浮动也有可能较大。鉴于此,改进的Harris方法()直接计算出两个特征值,通过比较两个特征值直接分类,这样就不用计算Harris响应函数了。 另一方面,我们不再用非极大值抑制了,而选取容忍距离:容忍距离内只有一个特征点。该算法首先选取一个具有最大最小特征值的点(即:max(min(e1,e2)),e1,e2是harris矩阵的特征值)作为角点,然后依次按照最大最小特征值顺序寻找余下的角点,当然和前一角点距离在容忍距离内的新角点呗忽略。-Difficult to see the classic Harris corner detection method, the algorithm stability and k, whereas k is an experience, not good grasp, floating there may be larger. In view of this, an improved method of Harris () directly calculates two characteristic values, by comparing two eigenvalues classification, so do not calculate the response function of Harris. On the other hand, we are no longer inhibited by non-maximum value, the distance tolerance: tolerance distance is only one feature point. Firstly, a point maximum and minimum eigenvalues have (ie: max (min (e1, e2)), e1, e2 is the characteristic value harris matrix) as the corners, followed in accordance with the maximum and minimum eigenvalues in order to find the remaining corner, of course, and the front corner of the distance in angular distance tolerate new point chanting ignored.
Date : 2025-12-28 Size : 82kb User : hk

Labview利用Imaq函数寻找图像中像素灰度值最大最小的平均值-Labview uses the Imaq function to find the average value of the maximum and minimum gray value of pixels in the image
Date : 2025-12-28 Size : 13kb User : lihao
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