计算机科学 ›› 2009, Vol. 36 ›› Issue (12): 257-258.

• 图形图像及体系结构 • 上一篇    下一篇

目标主色集结合SIFT的彩色目标快速识别

李海涛,吴培良,孔令富   

  1. (燕山大学信息科学与工程学院 秦皇岛066004)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家863高技术研究发展计划资助项目(2006AA04Z212),河北省教育厅自然科学研究计划项目(22008473)资助。

Combining ODCS and SIFT for Fast Color Object Identification

LI Hai-tao,WU Pei-liang,KONG Ling-fu   

  • Online:2018-11-16 Published:2018-11-16

摘要: 针对基于尺度不变特征变换(Scale Invariant Feature Transform, SIFT)的目标识另y实时性差的缺陷,提出了一种结合目标主色集(Object Dominant Color Set,ODCS)初定位的SIFT彩色目标快速识别算法(ODCS-SIFT)。将目标识别分为两个阶段:在离线训练阶段,采用人机交互的方式提取目标特征;在实时图像处理阶段,首先基于目标主色集进行顺序网格搜索和种子填充,再根据各主色频数约束来确定目标的初定位区域,最后在灰度化的初定位区域进行SIFT处理。对比实验表明,本方法可有效地提高SIFT目标识别的实时性。

关键词: 目标主色集,目标识别,特征联合

Abstract: To improve the celerity of object identification based on scale invariant feature transform(SIFT),a new fast approach called ODCS-SIFT was proposed to locate and identify color object from scene using combination of object dominant color set(ODCS) and SIFT. The whole approach comprises two joint stage; off-line training stage and on-line identifying stage. At off-line stage, find ODCS and SII门气libraries through human-machine interaction, while at on-line stage, firstly search in the whole scene image using ordinal grid scanning and seed filling simultaneously, then locate the object roughly using the ODCS frequency restriction, lastly in the smaller grayed location a more real-time and precise SIFT extracting and matching are executed. Experimental results show that the ODCS-SIFT can improve the celerity of 0bject identification effectively.

Key words: Object dominant color set, Object identification, Feature combination

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!