电子学报 ›› 2017, Vol. 45 ›› Issue (11): 2617-2624.DOI: 10.3969/j.issn.0372-2112.2017.11.007

• 学术论文 • 上一篇    下一篇

分层结构直方图及其应用

余旺盛, 李卫华, 侯志强   

  1. 空军工程大学信息与导航学院, 陕西西安 710077
  • 收稿日期:2016-07-25 修回日期:2016-11-01 出版日期:2017-11-25 发布日期:2017-11-25
  • 通讯作者: 余旺盛
  • 作者简介:李卫华,男,1964年出生于河南郑州,2006年获西北工业大学导航、制导与控制专业博士学位,现为空军工程大学信息与导航学院教授,主要研究领域为指挥控制与信息融合技术、图像处理与人工智能技术等.E-mail:li_wei_hua@yahoo.com.cn
  • 基金资助:
    国家自然科学基金(No.61703423,No.61473309);陕西省自然科学基础研究计划项目(No.2016JM6050)

Hierarchical Structure Histogram and Its Application

YU Wang-sheng, LI Wei-hua, HOU Zhi-qiang   

  1. Information and Navigation College, Air Force Engineering University, Xi'an, Shaanxi 710077, China
  • Received:2016-07-25 Revised:2016-11-01 Online:2017-11-25 Published:2017-11-25

摘要: 针对传统直方图特征存在的特征分辨能力不强的问题,提出了一种图像分层结构直方图.该特征首先将图像按照亮度幅值的大小进行分层,然后根据预先设计的结构图元对所有的分层图进行基于结构图元的直方图统计,最后将所得的直方图进行集成得到最终的分层结构直方图.以图像匹配与视觉跟踪为例,对分层结构直方图的应用进行了大量的仿真实验,结果表明该特征较参考特征具有更强的特征分辨性能和局部描述能力.利用分层结构直方图进行图像匹配得到的相似性度量图单峰特性更加明显,能够显著降低视觉跟踪算法的跟踪误差.

关键词: 图像匹配, 视觉跟踪, 直方图特征, 分层结构直方图

Abstract: Aimed to the poor discrimination of the traditional histogram feature,a Hierarchical Structure Histogram (HSH) is proposed in this paper.Firstly,it transforms the target image into hierarchical sub images according to the intensity value.Then,it calculates the histograms based on the structure image element for each hierarchical sub image according to the predefined structure image element.Finally,it integrates the histograms to obtain the final hierarchical structure feature.Take image matching and visual tracking as two representative examples,a lot of experiments were carried out based on the proposed feature.The experimental results indicate that the proposed feature owns better discriminative performance and local description performance than the referenced features.The similarity map obtained from the HSH-based image matching has a much more discriminative single-humped characteristic.The HSH feature can also dramatically decrease the tracking errors for visual tracking.

Key words: image matching, visual tracking, histogram feature, hierarchical structure histogram

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