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FOREST RESOURCES WANAGEMENT ›› 2018, Vol. 0 ›› Issue (5): 113-122.doi: 10.13466/j.cnki.lyzygl.2018.05.018

• Scientific Research • Previous Articles     Next Articles

Edge Detection and Edge Line Extraction of Standing Tree Trunk Based on Machine Vision

LI Wei1(), YUE Depeng2   

  1. 1. Beijing Forestry Survey and Design Institute,Beijing 100029,China
    2. Beijing Key Laboratory of Precision Forestry,Beijing Forestry University,Beijing 100083,China
  • Received:2018-08-30 Revised:2018-10-19 Online:2018-10-28 Published:2020-09-24

Abstract:

Based on the image processing and machine vision technology,the edge feature of the tree trunk image was extracted by the edge detection operator,and the linear feature of the tree trunk edge was studied.The results show that:Prewitt operator and Canny operator retain more edge details on the trunk background,but the detection rate of the trunk edge is higher,and the trunk edge continuity is better.The detection error of the edge of the tree between the Robert operator and the Prewitt operator is large.The Sobel operator,LoG operator and Canny operator have higher detection precision for the edge of the trunk.The Gaussian filtered standing images of Sigma 0.1,0.3,1.4 and 3 are edge-detected and the diameter pixel distance extraction value is compared with the visual interpretation value.The results show that the recognition bias of Sigma is 0.3~1.4.

Key words: CMOS, machine vision, edge detection operator standing timber, edge straight, feature extraction

CLC Number: