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林业科学 ›› 2009, Vol. 12 ›› Issue (6): 62-67.doi: 10.11707/j.1001-7488.20090611

• 论文 • 上一篇    下一篇

提高动态树木图像分割处理速度的方法*

胡天翔1 郑加强1 周宏平1 丛静华2   

  1. (1.南京林业大学机械电子工程学院 南京 210037; 2.南京森林公安高等专科学校 南京 210037)
  • 收稿日期:2008-08-05 修回日期:1900-01-01 出版日期:2009-06-25 发布日期:2009-06-25

Method on Improving Segmentation Processing Speed of Dynamic Tree Image

Hu Tianxiang1, Zheng Jiaqiang1, Zhou Hongping1,Cong Jinghua   

  1. (1.College of Mechanical and Electronic Engineering,Nanjing Forestry University Nanjing 210037;2.Nanjing Forest Police College Nanjing 210037)
  • Received:2008-08-05 Revised:1900-01-01 Online:2009-06-25 Published:2009-06-25

摘要:

针对智能对靶喷雾技术领域中动态树木图像分割处理速度的提高方法进行研究。对整个系统程序设计进行调整,采用四叉树的数据结构进行图像存储,并将基于相对色彩因子的图像处理算法应用在系统中,根据光线强弱自动调节图像分割阈值,提高了识别率; 在此基础上减少了系统处理树木图像的时间。通过试验验证系统的运行情况,将图像分割处理的速度提高到小于0.1 s·f-1,进一步提升智能对靶喷雾的实时性。

关键词: 智能喷雾机, 图像分割算法, 软件控制系统, 处理速度

Abstract:

The improving segmentation processing speed of dynamic tree images for the intelligent towardtarget spray technology was studied in this paper. In this research,entire system had been adjusted,and the quad tree data structure was used for image storage. The relative color indices image segmentation algorithm had been applied in the system,it can automatically set the threshold for best recognition rate. That would be able to reduce the time of processing tree image,and by experimental operation verification of the system,the tree image segmentation processing speed was less than 0.1 s·f-1,so that the intelligent spray targeting precision could be further improved.

Key words: intelligent sprayer, image segmentation algorithm, software control system, processing speed