TY - GEN
T1 - Automatic segmentation and band detection of protein images based on the standard deviation profile and its derivative
AU - Labyed, Yassin
AU - Kaabouch, Naima
AU - Schultz, Richard R.
AU - Singh, Brij B.
PY - 2007
Y1 - 2007
N2 - 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 two novel, fully-automated techniques based on the standard deviation and its derivative 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.
AB - 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 two novel, fully-automated techniques based on the standard deviation and its derivative 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.
KW - Band detection
KW - Gel electrophoresis image
KW - Protein
KW - Segmentation
UR - http://www.scopus.com/inward/record.url?scp=47649100797&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=47649100797&partnerID=8YFLogxK
U2 - 10.1109/EIT.2007.4374497
DO - 10.1109/EIT.2007.4374497
M3 - Conference contribution
AN - SCOPUS:47649100797
SN - 1424409411
SN - 9781424409419
T3 - 2007 IEEE International Conference on Electro/Information Technology, EIT 2007
SP - 577
EP - 582
BT - 2007 IEEE International Conference on Electro/Information Technology, EIT 2007
T2 - 2007 IEEE International Conference on Electro/Information Technology, EIT 2007
Y2 - 17 May 2007 through 20 May 2007
ER -