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New Zealand Journal of Agricultural Research abstracts


A novel bacteria recognition method based on microscopic image analysis

Li Xiaojuan

Information Engineering College
Capital Normal University
Beijing 100037, China
lixjxxxy@263.net

Chen Cunshe

School of Chemical and Environmental Engineering,
Beijing Technology and Business University
Beijing 100037, China

Abstract A novel method for image recognition of bacteria is presented in this paper. An effective method for the edge detection of bacteria images is provided by optimising segmentation threshold and changing the order of edge detection, which effectively removes or restrains noise and gets clear edges of the microscopic image. Principal component analysis (PCA) is used to reduce the dimensionality of primitive features extracted from the images, and back propagation (BP) network is used to learn to classify the images. The proposed method was tested with National Microbe Culture Resource (NMCR) database, and experimental results demonstrated that the presented image classification scheme is effective.

Keywords    bacteria image recognition; edge detection; PCA

A07080; Online publication date 21 December 2007; Received and accepted 10 August 2007

New Zealand Journal of Agricultural Research, 2007, Vol. 50: 697–703
0028–8233/07/5005–0697 © The Royal Society of New Zealand 2007

PDF file of entire paper: Print-quality (1253K) | screen-quality (870K)


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