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Proceedings Paper

Noninvasive forward-scattering system for rapid detection, characterization, and identification of Listeria colonies: image processing and data analysis
Author(s): Bartek Rajwa; Bulent Bayraktar; Padmapriya P. Banada; Karleigh Huff; Euiwon Bae; E. Daniel Hirleman; Arun K. Bhunia; J. Paul Robinson
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Paper Abstract

Bacterial contamination by Listeria monocytogenes puts the public at risk and is also costly for the food-processing industry. Traditional methods for pathogen identification require complicated sample preparation for reliable results. Previously, we have reported development of a noninvasive optical forward-scattering system for rapid identification of Listeria colonies grown on solid surfaces. The presented system included application of computer-vision and patternrecognition techniques to classify scatter pattern formed by bacterial colonies irradiated with laser light. This report shows an extension of the proposed method. A new scatterometer equipped with a high-resolution CCD chip and application of two additional sets of image features for classification allow for higher accuracy and lower error rates. Features based on Zernike moments are supplemented by Tchebichef moments, and Haralick texture descriptors in the new version of the algorithm. Fisher's criterion has been used for feature selection to decrease the training time of machine learning systems. An algorithm based on support vector machines was used for classification of patterns. Low error rates determined by cross-validation, reproducibility of the measurements, and robustness of the system prove that the proposed technology can be implemented in automated devices for detection and classification of pathogenic bacteria.

Paper Details

Date Published: 23 October 2006
PDF: 8 pages
Proc. SPIE 6381, Optics for Natural Resources, Agriculture, and Foods, 638105 (23 October 2006); doi: 10.1117/12.686298
Show Author Affiliations
Bartek Rajwa, Purdue Univ. (United States)
Bulent Bayraktar, Purdue Univ. (United States)
Padmapriya P. Banada, Purdue Univ. (United States)
Karleigh Huff, Purdue Univ. (United States)
Euiwon Bae, Purdue Univ. (United States)
E. Daniel Hirleman, Purdue Univ. (United States)
Arun K. Bhunia, Purdue Univ. (United States)
J. Paul Robinson, Purdue Univ. (United States)

Published in SPIE Proceedings Vol. 6381:
Optics for Natural Resources, Agriculture, and Foods
Yud-Ren Chen; George E. Meyer; Shu-I Tu, Editor(s)

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