首页 | 本学科首页   官方微博 | 高级检索  
     检索      

一种基于列扫描灰度差异的快速目标识别定位算法
引用本文:刘新海,方康玲.一种基于列扫描灰度差异的快速目标识别定位算法[J].武汉科技大学学报(自然科学版),2001,24(4):403-407.
作者姓名:刘新海  方康玲
作者单位:信息科学与工程学院,
摘    要:以动态连续图像的实时识别与定位为应用背景,提出了一种简单的快速的目标识别定位算法,该算法以列扫描灰度特征差异为基础,同时研究了灰度峰谷点的特征,使该算法不仅可以快速地识别出简单的目标,而且可以快速地识别出比较复杂的目标,最后通过一系列的实验验证了该算法的快速性。

关 键 词:目标识别  列扫描  灰度差异  灰度峰谷点  快速性  图像处理  目标定位  目标识别  算法
文章编号:1001-4985(2001)04-0403-04
修稿时间:2001年8月8日

A Fast Object Recognition and Detection Algorithm Based on Gray Difference of Row Scanning
LIU Xin hai,FANG Kang ling.A Fast Object Recognition and Detection Algorithm Based on Gray Difference of Row Scanning[J].Journal of Wuhan University of Science and Technology(Natural Science Edition),2001,24(4):403-407.
Authors:LIU Xin hai  FANG Kang ling
Abstract:With the real tiem detection of dynamic seguential industrial images as the application background,a simple algorithm for the fast object recognition and detection is presented in this article.Based on the gray characteristic difference of row scanning and drawing on the research into the characteristics of gray apex and valley,this algorithm can detect both simple object and relatively complex object guickly.The fastness of this algorithm in detection has been proved by a series of experiments.
Keywords:object recognition and detection  row scanning  gray difference  gray apex and valley  fastness
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号