摘要： Automatic band detection is important for molecular subtyping on gel images. Automatic band detection has been conducted for many years, but only a few incomplete systems have been proposed. Here, we propose a completely automatic band detection system for pulsed-field gel electrophoresis (PFGE) images. The proposed approach mainly comprises lane segmentation and band extraction. In lane segmentation, we characterized the structural features and the spatial distribution of bands in PFGE images to fit pairs of parallel lines. In band extraction, a polynomial fitting method was used to remove the uneven background in a lane; we then used local gradient information to split the stuck bands and extract all bands in every lane. We compared the results with existing semiautomatic methods based on 20 varied PFGE images. The proposed method was shown to be superior to previous methods in most cases; moreover, the proposed approach is a completely automatic processing method. 其他題名： Pattern Anal Applic 出版者： London: Springer London 出版日期： 2015-02-01 出處： Pattern analysis and applications : PAA, 2015-02, Vol.18 (1), p.145-155 版權： Springer-Verlag London 2014 識別號： ISSN: 1433-7541 識別號： EISSN: 1433-755X 識別號： DOI: 10.1007/s10044-014-0424-4
