Title
Plant Recognition By Integrating Color And Range Data Obtained Through 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.
Year
DOI
Venue
2005
10.20965/jaciii.2005.p0630
JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS
Keywords
Field
DocType
plant recognition, integration, color, range data, stereo vision
Computer vision,Stereo cameras,Computer science,Stereopsis,Artificial intelligence,Color normalization,Computer stereo vision
Journal
Volume
Issue
ISSN
9
6
1343-0130
Citations 
PageRank 
References 
5
0.93
0
Authors
4
Name
Order
Citations
PageRank
Hotaka Takizawa18416.49
nobuo ezaki213012.07
Shinji Mizuno3792153.37
Shinji Yamamoto4163.55