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Plant Recognition by Integrating Color and Range Data Obtained Through Stereo Vision
Hotaka Takizawa*, Nobuo Ezaki**, Shinji Mizuno***, and Shinji Yamamoto****
*University of Tsukuba, Ibaraki 305-8573, Japan
**Toba National College of Maritime Technology, Mie 517-8501, Japan
***Toyohashi University of Technology, Aichi 441-8580, Japan
****Chukyo University, Aichi 470-0393, Japan
Received:January 31, 2005Accepted:May 31, 2005Published:November 20, 2005
Keywords:plant recognition, integration, color, range data, stereo vision
Abstract
We present a new method for recognizing plants automatically and nondestructively by measuring plants three-dimensionally, including height, width, and leaf area, which are important clues for determining a plant condition. We use only two cameras and small plant preparation. A pair of color images for a plant is obtained by a binocular stereo camera, then leaf and stalk areas are extracted from color images, range data is calculated from stereo images, three-dimensional reconstruction for the plant is generated by using the Delaunay triangulation and the plant is measured in the generated reconstruction. Two experimental results are shown for actual plants.
Cite this article as:H. Takizawa, N. Ezaki, S. Mizuno, and S. Yamamoto, “Plant Recognition by Integrating Color and Range Data Obtained Through Stereo Vision,” J. Adv. Comput. Intell. Intell. Inform., Vol.9 No.6, pp. 630-636, 2005.Data files:
