The algorithm is easy to use for real-time processing in parallel and realized by hardware.
算法易于实时并行处理，便于硬件实现。
Because the cellular neural networks are uniquely suitable for the high-speed parallel computation and easy to implement in hardware, this model has more potential in real-time image processing.
由于细胞神经网络具有高速并行运算、便于硬件实现等特点，因此这种方法在图像实时处理中也具有很大的潜力和应用前景。
Furthermore, the several key problems about realizing real-time processing utilizing parallel system, distance measurement and auxiliary illumination assembly are discussed in detail in this paper.
此外，针对利用并行处理提高系统实时处理能力、测距技术和辅助照明系统等几个关键技术进行了探讨。
应用推荐