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Scientia Silvae Sinicae ›› 2009, Vol. 12 ›› Issue (6): 62-67.doi: 10.11707/j.1001-7488.20090611

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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

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