NDLI: Tree recognition for landscape using by combination of features of its leaf, flower and bark

Content Provider	IEEE Xplore Digital Library
Author	Seon-Jong Kim Byeong-Wan Kim Dong-Pil Kim
Copyright Year	2011
Description	Author affiliation: Dept. of Applied IT Engineering, Pusan National University, Korea (Seon-Jong Kim; Byeong-Wan Kim) \|\| Dept. of Landscape Architecture, Pusan National University, Korea (Dong-Pil Kim)
Abstract	In this paper, we give a tree recognition system for landscape based on combination of the component retrievals, leaf, flower and bark. Segmentation that divides an image into object and background is implemented by user. Feature extraction is to get features of shape, color, and texture, which it depends on the characteristics of each component. We used 32 features of Fourier descriptor for leaf, 72 features of HS color plane for flower, and 20 features of wavelet energy for bark respectively. A Euclidean distance between features is used as a measure for retrieval. We collected a dataset with 16 classes for landscape tree and recognize the species with the first sequence of results for retrieval, which is having a minimum distance with query. We can obtain 31%, 75%, 75% recognition rate of leaf, flower and bark image in our dataset respectively. For combination, we added the sequence of retrieval for each class. We obtain 84% recognition performance in combination of leaf and flower, 75% in combination of leaf and bark, and 100% in combination of bark and flower. We showed that a combination of the component retrievals can be inferred a better performance in recognition of tree for landscape.
Starting Page	1147
Ending Page	1151
File Size	2829982
Page Count	5
File Format	PDF
ISBN	9781457707148
e-ISBN	9784907764395
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-13
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	SICE (The Society of Instrument and Cont
Subject Keyword	Vegetation Image color analysis Shape Wavelet transforms Feature extraction Image segmentation Landscape Tree Recognition Retrievals Combination of Features
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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