计算机与现代化 ›› 2011, Vol. 1 ›› Issue (6): 22-3.doi: 10.3969/j.issn.1006-2475.2011.06.007

• 图像处理 • 上一篇    下一篇

基于模板匹配的多目标精确粘连分割算法

张文杰1,2,王大通1,2,李 洁3   

  1. 1.广州市市政园林工程质量检测中心,广东 广州 510095; 2.广州市市政工程安全质量监督站,广东 广州 510051;3.中山大学信息科学与技术学院,广东 广州 510275
  • 收稿日期:2011-02-22 修回日期:1900-01-01 出版日期:2011-06-29 发布日期:2011-06-29

Multiobjective Accurate Adhesion Segmentation Algorithm Based on Template Matching

ZHANG Wen-jie1,2, WANG Da-tong1,2, LI Jie3   

  1. 1.Guangzhou Municipal and Gardening Engineering Quality Testing Center, Guangzhou 510095, China; 2.Municipal Engineering Safe Mass Monitor Station of Guangzhou, Guangzhou 510051, China;3.School of Information Science & Technology, Sun Yatsen University, Guangzhou 510275
  • Received:2011-02-22 Revised:1900-01-01 Online:2011-06-29 Published:2011-06-29

摘要: 在提取多运动目标的基础上,利用目标运动的时空连续性,提出一种基于模板匹配的多目标精确分割算法。该算法首先利用混合高斯模型提取视频中的运动目标,然后利用模板匹配算法初步识别出每一个目标的区域,最后利用扩张算法扩充目标的完整边界区域。实验结果表明,与传统的静态粘连分割算法比较,所提出的算法不但能分割同一颜色的多目标视频,而且分割效果更准确更高效。

关键词: 模板匹配, 粘连, 多目标, 分割

Abstract: Based on the extraction of multiple moving objects, using of spatial and temporal continuity of target motion, a multiobjective accurate segmentation based on template matching algorithm is proposed. The algorithm uses Gaussian mixture model to extract moving objects in the video, then uses the template matching algorithm to identify each of the initial target area, the final goal is to use the full expansion algorithm to expand the border region. Experimental results show that the traditional segmentation of static adhesion compares with the proposed algorithm not only multiobjective segmentation of the same color, also the segmentation results are more accurate and efficient.

Key words: template matching, adhesion, multiobjective, segmentation