DocumentCode
1902931
Title
Notice of Retraction
Application of D-S Evidential Reasoning in Recognizing Oval Fruit
Author
Li Juan ; Zhu Jia-xingz ; Sun Jian-hong ; Li Jun-sheng
Author_Institution
Eng. Coll., Honghe Univ., Mengzi, China
fYear
2010
fDate
25-26 Dec. 2010
Firstpage
1
Lastpage
4
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Using the method of based reasoning data fusion, Dempster-Shafer evidence reasoning applies to class of oval fruits recognition experiments. Through multiple sensors to observe and sample the fruits, the characteristic information is extracted, which can determine the basic incredible assigned of various sensors for the unknown fruits. And then Dempster combination rule was used to fuse the data further and improve reliability; lastly, to recognize the type of fruit effectively. This experiment shows the D-S evidence reasoning has a strong ability to deal with uncertain information, the result proved the correctness and effectiveness.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Using the method of based reasoning data fusion, Dempster-Shafer evidence reasoning applies to class of oval fruits recognition experiments. Through multiple sensors to observe and sample the fruits, the characteristic information is extracted, which can determine the basic incredible assigned of various sensors for the unknown fruits. And then Dempster combination rule was used to fuse the data further and improve reliability; lastly, to recognize the type of fruit effectively. This experiment shows the D-S evidence reasoning has a strong ability to deal with uncertain information, the result proved the correctness and effectiveness.
Keywords
agricultural products; case-based reasoning; sensor fusion; shape recognition; D-S evidential reasoning; data fusion; oval fruits recognition; Cognition; Feature extraction; Image color analysis; Image recognition; Pattern recognition; Sensors; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location
Wuhan
ISSN
2156-7379
Print_ISBN
978-1-4244-7939-9
Type
conf
DOI
10.1109/ICIECS.2010.5678427
Filename
5678427
Link To Document