| 注册
首页|期刊导航|现代电子技术|商品图像局部特征提取算法研究与实现

商品图像局部特征提取算法研究与实现

白宗文 周美丽

现代电子技术Issue(12):56-58,3.
现代电子技术Issue(12):56-58,3.

商品图像局部特征提取算法研究与实现

Research and implementation of local feature extraction algorithm for commodity images

白宗文 1周美丽1

作者信息

  • 1. 延安大学,陕西 延安 716000
  • 折叠

摘要

Abstract

The method of local interesting point extraction for commodity images is studied in this paper. Simulation model-ing of Harris and Harris-Laplace algorithms for local feature extraction of commodity image was performed by means of Matlab language. A commodity retrieval system based on commodity image local features was developed. The system was tested when the retrieval commodity was in different angles or in the different background. The test results were compared and analyzed. The characteristics of the two algorithms are pointed out. Some suggestions on algorithm improvement is proposed.

关键词

商品图像/局部特征提取算法/角点检测/兴趣点提取

Key words

commodity image/local feature extraction algorithm/corner detection/interesting point extraction

分类

信息技术与安全科学

引用本文复制引用

白宗文,周美丽..商品图像局部特征提取算法研究与实现[J].现代电子技术,2014,(12):56-58,3.

基金项目

延安市工业攻关项目基于机器视觉的文物修复系统与实现(2012kg-07);延安市科技局项目三位数字化文物保护技术的研究与应用 ()

现代电子技术

OA北大核心CSTPCD

1004-373X

访问量0
|
下载量0
段落导航相关论文