Gel electrophoresis image segmentation and band detection based on the derivative of the standard deviation

Yassin Labyed, Naima Kaabouch, Richard R. Schultz, Brij B. Singh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Gel electrophoresis has significantly influenced the progress achieved in genetic studies over the last decade. Image processing techniques that are commonly used to analyze gel electrophoresis images require mainly three steps: band detection, band matching, and quantification and comparison. Although several techniques have been proposed to fully automate all steps, errors in band detection and, hence, in quantification are still important issues to address. In order to detect bands, many techniques were used, including image segmentation. In this paper, we present a novel, fully-automated technique based on the derivative of the standard deviation to perform segmentation and to detect protein bands. Results show that even for poor quality images with faint bands, segmentation and detection are highly accurate. Index Terms-Gel electrophoresis image, protein, band detection, segmentation.

Original languageEnglish (US)
Title of host publicationInternational Conference on Artificial Intelligence and Pattern Recognition 2007, AIPR 2007
Pages31-35
Number of pages5
StatePublished - Dec 1 2007
Externally publishedYes
Event2007 International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2007 - Orlando, FL, United States
Duration: Jul 9 2007Jul 12 2007

Publication series

NameInternational Conference on Artificial Intelligence and Pattern Recognition 2007, AIPR 2007

Other

Other2007 International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2007
CountryUnited States
CityOrlando, FL
Period7/9/077/12/07

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition

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    Labyed, Y., Kaabouch, N., Schultz, R. R., & Singh, B. B. (2007). Gel electrophoresis image segmentation and band detection based on the derivative of the standard deviation. In International Conference on Artificial Intelligence and Pattern Recognition 2007, AIPR 2007 (pp. 31-35). (International Conference on Artificial Intelligence and Pattern Recognition 2007, AIPR 2007).