Tree height measurement based on image processing with 3-points correction

Proceedings of 2011 International Conference on Computer Science and Network Technology, ICCSNT 2011

Volumn 4, Issue , 2011, Pages 2281-2284

  Han, Dianyuan ^a  

^a Wei Fang University   (China)

Author keywords

image correction; image processing; image segmentation; tree height measurement

Indexed keywords

COLOR FEATURES; IMAGE CORRECTION; RELATIVE MEASUREMENT; SIMILARITY THEORY; TOP POINTS; TREE HEIGHT;

COMPUTER SCIENCE; IMAGE PROCESSING; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION;

FORESTRY;

COMPUTERS; CORRECTIONS; DATA PROCESSING; IMAGE ANALYSIS; TREE DIMENSIONS;

EID: 84860477274     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCSNT.2011.6182429     Document Type: Conference Paper

References (5)

1. Feng Zhongke, Zhao Yingkun, Deng Xiangrui, Zang Shuying. Measurement and precision analysis of tree height by 3D forward intersection [J]. Journal of Beijing Forestry University. Vol.29, Supp 2:36-39. Aug. 2007.
2. Juan Zhang, Xin-yuan Huang, Measuring Method of Tree Height Based on Digital Image Processing Technology[C]. icise, pp.1327-1331, 2009 First International Conference on Information Science and Engineering, 2009.
3. CAO Hong-xing,LIU Jia-hang, RUAN Ping. Stitching Image Based on Transform Matrix of Corners[J]. Science Technology And Engineering, 2008,8(16):4536-4539
4. Rafael c. Gonzalez, Richard E. Woods. "Digital image processing second Edition", Beijing: Publishing house of electronics industry,2008, pp. 519-560.
5. Xiaosong Wang, Hui Fu,Xinyuan Huang. An Improvement MRF Model-based Approach to Tree Image Matting[J]. Journal of computational information system, v6, n6, p 2231-2238, December 2009..