首页> 外文会议>International Conference on Artificial Intelligence and Soft Computing >A New Approach to Detection of Abrupt Changes in Black-and-White Images
【24h】

A New Approach to Detection of Abrupt Changes in Black-and-White Images

机译:一种新的黑白图像突然变化的新方法

获取原文

摘要

In data analysis one of the most important problems is to verify whether data observed or/and collected in time are genuine and stationary, i.e. the information sources did not change their characteristics. Nowadays, unprecedented amounts of heterogeneous data collections are stored, processed and transmitted via the Internet. There is a variety of data types: texts, ordinary numbers, images, audio or video files or streams, metadata descriptions, etc. All of them change in many ways. If the change happens then the interesting issue is what is the essence of this change and when and where the change has occurred. The main focus of this paper is detection of change in pictures. Many algorithms have been proposed to detect abnormalities and deviations in the data. We propose a new approach for abrupt changes detection based on the Parzen kernel estimation of the partial derivatives of the multivariate regression functions in presence of probabilistic noise. The proposed change detection algorithm is applied to one- and two-dimensional patterns to detect the abrupt changes.
机译:在数据分析中,最重要的问题之一是验证是否在时间内观察或/和收集的数据是真实的和静止的,即信息源没有改变其特征。如今,通过互联网存储,处理和传输,存储,处理和传输前所未有的异构数据集合。有多种数据类型:文本,普通号码,图像,音频或视频文件或流,元数据描述等。所有这些都以多种方式更改。如果发生变化,那么有趣的问题是这种变化的本质以及发生变化的时间何时发生。本文的主要重点是检测图片的变化。已经提出了许多算法来检测数据中的异常和偏差。我们提出了一种基于存在概率噪声的多元回归函数的偏衍生物的偏核估计的突然变化检测的新方法。所提出的改变检测算法应用于一个和二维模式以检测突变变化。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号