Object Detection and Localization Based on Image Equalizing and Binaryzation Algorithm

摘要：

The key to object detection is separation between the goal and the background,computation of candidate goal characteristic parameter,and making comparison of the standard target characteristic parameter with it,the goal is the one that meets the standard.Using gravity model approach on the centralized positioning based on object detection.This article proposes one kind of method that carries on equalized and the binaryzation target identification under the complex background to the image,it carries on the precise extraction and the localization according to the characteristic parameter.The experimental result indicated that this method could be managed on efficient practice with fast speed,good extraction effect and high recognition rate.

关键词： Image Equalizing Binaryzation Object Detection Localization Feature Extraction

作者: Yi Gao

作者单位: Criminal Technology Department,China Criminal Police College,Shenyang,Liaoning,China

会议类型: 国际会议

会议名称: 2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)

会议地点: 大连

会议语种:英文

页码: 1379-1383

在线出版日期: 2008-07-27（万方平台首次上网日期，不代表论文的发表时间）