摘要
细胞神经网络(CNN)是一种局部互连的非线性并行模拟视觉处理系统,具有适合硬件实现处理速度快的优点,被广泛地应用于图像处理的各个方面。针对目前大多数视频分割算法难以满足实时性要求的缺点,将细胞神经网络应用到视频分割当中,提出了一种改进的基于细胞神经网络的视频分割算法,并通过仿真实验证明了其可行性。
Cellular neural networks （CNN） is a non-linear partial interconnection of parallel processing of visual simulation systems, with the advantage of adapting hardware to realize the faster processing speed, is widely used in the various aspects of image processing. For the present shortcoming that most of the video segmentation is difficult to meet real-time requirements, cell neural network will be applied to the video segmentation in this article, and an improved video segmentation algorithm based on cell neural network will be proposed , and through simulation experiments to prove its feasibility.
出处
《电脑开发与应用》
2009年第3期9-11,共3页
Computer Development & Applications
关键词
细胞神经网络
图像处理
视频分割
CNN模板
cellular neural networks, image processing, video segmentation, CNN template
