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Identifying Tree Species From Bark. David Gainer. Why Bark?. Year-Round Can be used for dead trees/logs/stumps Can be observed at ground level Can be combined with systems for leafs/needles/twigs/etc. Inherent Difficulties.
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Identifying Tree Species From Bark David Gainer
Why Bark? • Year-Round • Can be used for dead trees/logs/stumps • Can be observed at ground level • Can be combined with systems for leafs/needles/twigs/etc.
Inherent Difficulties • Age: Old Trees Have Very Different Looking Bark than Young Trees (So a complete system would have to identify tree and age range). Juvenile Bunya Pine Mature Bunya Pine Pictures from: http://tree-species.blogspot.com/
Inherent Difficulties • Shape: Shape of the trunk effects the appearance of the bark.
Human Performance • Osterreichische Bundesforste AG Dataset • 2 Experts: 56.6% and 77.8% (trouble with the different pines) Source: Fiel and Sablatnig http://cvww2011.icg.tugraz.at/papers_web/p13.pdf
Prior Results/Approaches • Wan et al (2004) 77% with GLCM. Higher using color bands separately. 170 images of 9 classes • Song et al (2004) 87.5% with GLCM and binary features. 180 images of 8 classes • Huang et al (2006) 92.5% with GLCM and fractal dimensions. 360 images of 24 classes • Fiel and Sablating (2011) 69.7% vectors of SIFT pattern matches. 1183 images of 11 classes. Found that GLCM only yielded 61% for the same dataset
My Dataset • Pictures of species in Central Park • 2 Pictures for each individual tree • Taken with iPhone, for each tree 1 picture using HDR setting, 1 with the standard • Taken between 14” and 16” away from the tree • Goal is 10 or more pictures for each species for 20 or more species • Currently 4-14 pictures for 14 tree species
My Dataset • Current Species: American Elm, London Plane, Red Oak, Eastern White Pine, Willow, Beech, Cherry (Kwanzan), Norway Maple, Birch (Himalayan Whitebark), Linden, American Sycamore, Blue Spruce, Sycamore Maple, Swamp Oak • Identified with Help of Ned Barnard and Ken Chayas “Central Park Entire” map
AmericanElm Birch (Himalayan Whitebark) Birch (Himalayan Whitebark) American Elm London Plane Beech London Plane Beech
Feature Selection • From the prior research, I intend to implement GLCM, look at fractal dimensions • I’d also like to come up with some new statistics especially from various qualities of edge images • I’d also like to look at statistics derived from line detection
Feature Selection • Gradient/Edge images in X and Y directions:
Classification • Compare k-nn, multiclass SVM and maximum likelihood approaches