Plant Recognition by Integrating Color and Range Data Obtained Through Stereo Vision | Zendy

Hotaka Takizawa | Zendy; Nobuo Ezaki | Zendy; Shinji Mizuno | Zendy; Shinji Yamamoto | Zendy

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Plant Recognition by Integrating Color and Range Data Obtained Through Stereo Vision

Author(s) -

Hotaka Takizawa,

Nobuo Ezaki,

Shinji Mizuno,

Shinji Yamamoto

Publication year - 2005

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2005.p0630

Subject(s) - artificial intelligence , delaunay triangulation , computer vision , computer science , stereopsis , range (aeronautics) , triangulation , computer stereo vision , mathematics , materials science , geometry , algorithm , composite material

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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