J4 ›› 2013, Vol. 31 ›› Issue (1): 107-112.

• 论文 • 上一篇    

基于计算机视觉的储备粮智能稽核方法

宋立明, 李秀华, 李万龙   

  1. 长春工业大学 计算机科学与工程学院, 长春 130012
  • 收稿日期:2012-10-24 出版日期:2003-01-24 发布日期:2013-04-01
  • 作者简介:宋立明(1970—), 男, 吉林榆树人, 长春工业大学讲师, 博士研究生, 主要从事计算机应用技术与图像处理研究, (Tel)86-13596008801(E-mail)songlim@126.com。
  • 基金资助:

    吉林省教育厅基金资助项目([2013]156)

Survey on Reserved Grain Intelligent Audit Methods Based on Computer Vision

SONG Li-ming, LI Xiu-hua, LI Wan-long   

  1. School of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China
  • Received:2012-10-24 Online:2003-01-24 Published:2013-04-01

摘要:

针对现有粮食数量检测方法称量法和主动视觉法存在用时多、 设备成本高等缺点, 以及图像识别法存在匹配精度低、 三维重建多面性等不足, 提出一种新的基于激光测距及三维重构技术的散装仓粮食数量识别方法。概述了现有基于图像识别的检测方法的实现过程, 对提出的方法进行了理论分析。最后论述该方法的优越性。

关键词: 计算机视觉, 激光技术, 三维重构, 图像识别

Abstract:

To deal with the defect of present grain quantity measure methods, a new recognition method based on laser and three-dimensional reconstruction of bulk warehouse is presented. The implementation process of present methods based on image recognition is summarized, and the principle of the method is analyzed by us. At last compared both of them, and looked into the future of automatic grain quantity recognition.

Key words: computer vision, laser technique, three-dimensional reconstruction, image recognition

中图分类号: 

  • TP391.4