基于Python技术的自然图像随机数生成设计

Design of Random Number Generation of Natural Image Based on Python

根据随机数验证图形散乱无序这一特征,反演随机数列。大自然中有许多景象,我们从中随机提取一幅或多幅图像。利用Python语言,通过高斯模糊将黑白图像的黑白点均匀化,利用斐波那契数列多次提取等方法,得到一组或多组随机数,最后经过蒙特卡洛π验证,证明这组数是随机数。

Random number has the characteristics of disorder and scatter. Based on this, the random series is retrieved. We can randomly extract images from the nature. This paper uses Gauss fuzzy to homogenize the black points and white points in the binary images with Python language, and uses the Fibonacci sequence for extraction to obtain groups of random numbers. Finally, the Monte Carlo test shows that the number is random.