▍1. 判断最大值和最小值
for循环判断最大值,最小值。熟悉FOR循环的用法(For loop judges maximum and minimum. Familiar with the use of FOR loops)
for循环判断最大值,最小值。熟悉FOR循环的用法(For loop judges maximum and minimum. Familiar with the use of FOR loops)
说明: for循环判断最大值,最小值。熟悉FOR循环的用法(For loop judges maximum and minimum. Familiar with the use of FOR loops)
计算1——n的平方和大于1000的n的最小值,并计算出累加和(Calculate the sum of squares of 1-N and the minimum value of N greater than 1000, and calculate the sum of accumulations.)
说明: 计算1——n的平方和大于1000的n的最小值,并计算出累加和(Calculate the sum of squares of 1-N and the minimum value of N greater than 1000, and calculate the sum of accumulations.)
神经网络算法实现 ,对初学者会有帮助。对初学者会有帮助。(The realization of neural network algorithm will be helpful for beginners. It will be helpful for beginners.)
说明: 神经网络算法实现 ,对初学者会有帮助。对初学者会有帮助。(The realization of neural network algorithm will be helpful for beginners. It will be helpful for beginners.)
这是一个基于Labview的usb模拟量数据采集卡的例程源码,可用于二次开发(This is a routine source code of USB analog data acquisition card based on Labview, which can be used for secondary development.)
说明: 这是一个基于Labview的usb模拟量数据采集卡的例程源码,可用于二次开发(This is a routine source code of USB analog data acquisition card based on Labview, which can be used for secondary development.)
不规则边界单个圆的拟合功能,在原先图片的基础上画近似圆(Fitting function of single circle with irregular boundary)
对单个边缘规则的近圆形图像进行拟合,并在原图像的基础上画近似圆(Fitting a single edge regular near-circular image and drawing an approximate circle on the basis of the original image)
进行减法-卷积-高斯-二值处理,用于边缘查找(Subtraction-Convolution-Gauss-Binary Processing for Edge Finding)
说明: 不规则边界单个圆的拟合功能,在原先图片的基础上画近似圆(Fitting function of single circle with irregular boundary)
说明: 对单个边缘规则的近圆形图像进行拟合,并在原图像的基础上画近似圆(Fitting a single edge regular near-circular image and drawing an approximate circle on the basis of the original image)
说明: 进行减法-卷积-高斯-二值处理,用于边缘查找(Subtraction-Convolution-Gauss-Binary Processing for Edge Finding)
阈值分割的各种方法的集合。局部阈值分割法,全局手动、自动阈值分割(A set of thresholding methods. Local Threshold Segmentation, Global Manual and Automatic Threshold Segmentation)
对图像进行腐蚀、膨胀、开运算、闭运算、细化等操作(Corrosion, expansion, opening, closing and thinning of images)