网络实时动态图像信息智能过滤系统设计

Design of Network Real-time Dynamic Image Information Intelligent Filtering System

为了预防网络中存在的不良图像信息对人们造成侵害,为人类创造一个安全健康的网络环境,需要对网络实时动态图像信息进行过滤;采用当前系统对网络实时动态图像信息进行过滤时,系统的安全性能较低,因网络安全隐患所引起的网络实时动态图像信息不能得到及时有效的处理,存在过滤时效性差、检索速率较慢、系统性能差等问题;为此,提出了一种网络实时动态图像信息智能过滤系统设计方法,首先介绍了系统的硬件设计,利用图像信息分类模块对网络实时动态图像信息进行分类,其次通过肤色检测模块、纹理检测模块、轮廓检测模块和形状描述符模块对网络实时动态图像信息进行检测,将完成检测的网络实时动态图像信息进行特征提取,通过图像信息YCgCr空间和图像信息YCgCr-LBP形状描述符算法完成对网络实时动态信息智能过滤;实验证明,所提方法设计的系统时效性和查全性较高,误检率较低。

In order to prevent the existence of bad images in the network of information against people, for the human to create a safe and healthy network enviromnent, the need for network real--time dynamic image information filtering. When the current system is used to filter the real--time dynamic image information of the network, the security performance of the system is low, and the network real time dynamic image information caused by the network security hazard can not be processed in time and effectively. The filtering 6me is poor and the retrieval rate is slow. Poor performance and other issues. In this paper, a design method of intelligent real--time dynamic image information intelligent filtering system is proposed. Firstly, the hardware design of the system is introduced. The image information classification module is used to classify the real--time dynamic image information. Secondly, through the skin color detection module, texture detection module, the contour detection module and the shape descriptor module are used to detect the real--time dynamic image information of the network, and the features of the real-- time dynamic image information of the network are extracted. The image information YGgCr space and the image in formation YCgCr--LBP shape descriptor algorithm are used to complete the real-- Information intelligence filtering. Experiments show that the system design and timeliness of the proposed method are higher and the false detection rate is lower.