DocumentCode :
3059465
Title :
Automatic image analysis of plant root structures
Author :
Huang, Qian ; Jain, Anil K. ; Stockman, George C. ; Smucker, Alvin J M
Author_Institution :
Michigan State Univ., East Lansing, MI, USA
fYear :
1992
fDate :
30 Aug-3 Sep 1992
Firstpage :
569
Lastpage :
572
Abstract :
The minirhizotron technique has provided agricultural scientists the opportunity of observing rhizosphere activities without destroying root structures. Nonetheless, the laborious analysis of the data still prohibits its wide applications. Advanced image understanding techniques are needed to derive satisfactory descriptions of plant root networks in an efficient and robust way. The paper presents a plant root image analysis system designed as a blackboard architecture with a hierarchy of data abstractions. Important properties of plant roots are used throughout the processing and multiple sources of information are combined to resolve uncertainties in image interpretation. Experimental results from some stages of the research are given which support the overall processing scheme
Keywords :
biology computing; blackboard architecture; image processing; blackboard architecture; data abstractions; image analysis; minirhizotron technique; plant root structures; Computer science; Crops; Data structures; Image analysis; Image edge detection; Image processing; Laboratories; Pattern recognition; Plants (biology); Soil;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2915-0
Type :
conf
DOI :
10.1109/ICPR.1992.201842
Filename :
201842
Link To Document :
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