Presentation | 2012-08-28 Tree Recognition using Leaf Images Toshihiro IWATA, Takeshi SAITOH, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose a recognition method of trees using leaf images. We take two leaf images of surface and underside from a cut leaf on the white sheet. At this time, a marker is put on the background. At first, we extract the object region using a graph cuts algorithm. Secondly we define 25 features, and these features are fed to a nearest neighbor method. We collected 20 pairs of pictures from 50 trees in the fields around our campus. We found the underside image is better than the surface image. We obtained the recognition rates of 80.5% in the 1st candidate and 96.2% in the 5th candidates with 13 features. Moreover, we found the actual size improves 5% of recognition rate. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Tree recognition / leaf image / features / graph cuts |
Paper # | LOIS2012-28,IE2012-60,EMM2012-51 |
Date of Issue |
Conference Information | |
Committee | LOIS |
---|---|
Conference Date | 2012/8/20(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | |
Vice Chair | |
Secretary | |
Assistant |
Paper Information | |
Registration To | Life Intelligence and Office Information Systems (LOIS) |
---|---|
Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Tree Recognition using Leaf Images |
Sub Title (in English) | |
Keyword(1) | Tree recognition |
Keyword(2) | leaf image |
Keyword(3) | features |
Keyword(4) | graph cuts |
1st Author's Name | Toshihiro IWATA |
1st Author's Affiliation | Dept. of System Design and Informatics, Kyushu Institute of Technology() |
2nd Author's Name | Takeshi SAITOH |
2nd Author's Affiliation | Dept. of System Design and Informatics, Kyushu Institute of Technology |
Date | 2012-08-28 |
Paper # | LOIS2012-28,IE2012-60,EMM2012-51 |
Volume (vol) | vol.112 |
Number (no) | 188 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |