摘要
在生产线钢坯检测识别过程中,如何准确地从光照复杂场景中确定钢坯端面字符串目标所在位置是一个关键技术问题。为了解决这个问题,本文提出利用Mean Shift对复杂场景图像进行抑制,采用多级分割滤波与聚类处理突出并找出字符串目标兴趣区域,通过最小二乘法自适应修整倾斜角度,进而完成字符串目标精准定位。实验结果表明,与传统投影定位方法相比,该定位方法能对各类钢坯字符串复杂场景完成精准定位,具有良好的稳定性和准确性,解决了钢坯字符串复杂场景的定位问题,为钢坯字符识别工作提供了关键技术。
In the production process of billet detection and recognition,how to accurately determine character string target location at the end of billet from the complex illumination scene is a key technical problem.In order to solve this problem,a method to complete character string location precisely is proposed.This method consists of Mean Shift restrain complex scene image,multistage segmentation filtering and clustering processing,and least squares trim angle adaptively for finding the character string interest area.The experimental results show that the location method can complete location precisely in various billet character string of complex scene and has better stability and accuracy than the traditional projector location method,and solve the location problem of billet character string on complex scene,and provide key technology in the billet character recognition of work.
出处
《光电工程》
CAS
CSCD
北大核心
2012年第1期54-61,共8页
Opto-Electronic Engineering
基金
国家自然科学基金面上项目(50975211
61175013)
武汉市科技攻关项目(200810321164)
湖北省自然科学基金(2010CDB11107)
武汉市科学带头人计划项目(Z201051730001)
