Paper
30 October 2009 Photogrammetric system for tree measurement based on gray-level co-occurrence matrix method
Xiaolan Wu, Lin Gao, Jiangming Kan, Wenbin Li
Author Affiliations +
Proceedings Volume 7496, MIPPR 2009: Pattern Recognition and Computer Vision; 74962N (2009) https://doi.org/10.1117/12.834004
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
The method of extracting the trunk by Gray-Level Co-occurrence matrix method has been proposed in this paper, meanwhile, it contrasted with the effects of region growing algorithm based on seed point which was selected from the stem base; then the information of diameter at breast height, diameter of main branch and branch height was figured out according to photogrammetry study . Experimental results show that the methods can effectively segment the trunk and the background, furthermore, it's more convenient to obtain the standing tree features automatically and accurately.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaolan Wu, Lin Gao, Jiangming Kan, and Wenbin Li "Photogrammetric system for tree measurement based on gray-level co-occurrence matrix method", Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74962N (30 October 2009); https://doi.org/10.1117/12.834004
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KEYWORDS
Cameras

Calibration

Image segmentation

Photography

Breast

Feature extraction

Photogrammetry

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