Paper:
Language: English:

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, 2005

Accepted: May 31, 2005

Keywords: plant recognition, integration, color, range data, stereo vision

Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.9, No.6 pp. 630-636, 2005

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.

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