RNG类:
Random number generator
Random number generator. It encapsulates the state (currently, a 64-bit
integer) and has methods to return scalar random values and to fill
arrays with random values. Currently it supports uniform and Gaussian
(normal) distributions. The generator uses Multiply-With-Carry
algorithm, introduced by G. Marsaglia (
<http://en.wikipedia.org/wiki/Multiply-with-carry> ).
Gaussian-distribution random numbers are generated using the Ziggurat
algorithm ( <http://en.wikipedia.org/wiki/Ziggurat_algorithm> ),
introduced by G. Mar

本文深入探讨了OpenCV中RNG类的功能与使用方法,包括如何通过不同的随机种子生成伪随机数,以及如何利用时间作为随机种子增加随机性。详细介绍了RNG类的构造函数、成员函数如fill()、uniform()和gaussian()等,用于填充数组、生成均匀分布和高斯分布的随机数。
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