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Adaptive Bacteria Colony Picking in Unstructured Environments Using Intensity Histogram and Unascertained LS-SVM Classifier
Joint Authors
Zhou, H.
Zhang, Kun
Li, Xin
Fei, Minrui
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-12
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Features analysis is an important task which can significantly affect the performance of automatic bacteria colony picking.
Unstructured environments also affect the automatic colony screening.
This paper presents a novel approach for adaptive colony segmentation in unstructured environments by treating the detected peaks of intensity histograms as a morphological feature of images.
In order to avoid disturbing peaks, an entropy based mean shift filter is introduced to smooth images as a preprocessing step.
The relevance and importance of these features can be determined in an improved support vector machine classifier using unascertained least square estimation.
Experimental results show that the proposed unascertained least square support vector machine (ULSSVM) has better recognition accuracy than the other state-of-the-art techniques, and its training process takes less time than most of the traditional approaches presented in this paper.
American Psychological Association (APA)
Zhang, Kun& Fei, Minrui& Li, Xin& Zhou, H.. 2014. Adaptive Bacteria Colony Picking in Unstructured Environments Using Intensity Histogram and Unascertained LS-SVM Classifier. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1051637
Modern Language Association (MLA)
Zhang, Kun…[et al.]. Adaptive Bacteria Colony Picking in Unstructured Environments Using Intensity Histogram and Unascertained LS-SVM Classifier. The Scientific World Journal No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1051637
American Medical Association (AMA)
Zhang, Kun& Fei, Minrui& Li, Xin& Zhou, H.. Adaptive Bacteria Colony Picking in Unstructured Environments Using Intensity Histogram and Unascertained LS-SVM Classifier. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1051637
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051637