Computer Science ›› 2015, Vol. 42 ›› Issue (Z6): 223-225.

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Embedded Tree Measurement System Based on BP Neural Network Image Segmentation

SHU Xin-zhan, FANG Kai and HU Jun-guo   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Because traditional tree measurement can not synchronously measure the tree’s height and breast-height diameter,and the measuring instruments have the limitations and other human factors,this paper designed an embedded tree measurement system based on BP neural network image segmentation,which can synchronously measure the main characteristic of tree.Testing results show that the proposed system can run efficiently and operate simply.Furthermore,the measurement precision error fully meets the requirement of less than 5%.So the proposed system has good application value,which is the supplement of the existing methods of tree measurement.

Key words: Tree neasurement,BP neural network,Image segmentation,Embedded system

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