DocumentCode :
479799
Title :
Application of Support Vector Machine to Heterotrophic Bacteria Colony Recognition
Author :
Men, Hong ; Wu, Yujie ; Gao, Yanchun ; Kou, Zhen ; Xu, Zhiming ; Yang, Shanrang
Author_Institution :
Sch. of Autom. Eng., Northeast Dianli Univ., Jilin
Volume :
1
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
830
Lastpage :
833
Abstract :
In allusion to the present heterotrophic bacteria colony counting method having the disadvantages of subjectivity, big error and low efficiency, we proposed a recognition method for heterotrophic bacteria colony based on SVM. After a series of pre-processing and segmentation to the acquired colony image, 6 feature parameters such as: area, perimeter, equivalent diameters of colony individual and non-colony ones were extracted. Then we adopted SVM to recognize them and the recognition rate of 98.7% was obtained. This means the effectiveness of the feature extraction method and the feasibility of support vector machines used for heterotrophic bacteria colony recognition.
Keywords :
feature extraction; pattern recognition; support vector machines; feature extraction method; heterotrophic bacteria colony recognition; pattern recognition; support vector machine; Computer science; Cooling; Feature extraction; Image recognition; Image segmentation; Microorganisms; Pattern recognition; Resistance heating; Software engineering; Support vector machines; feature extraction; heterotrophic bacteria colony; pattern recognition; support vector machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
Type :
conf
DOI :
10.1109/CSSE.2008.485
Filename :
4721878
Link To Document :
بازگشت