Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
557553 | Biomedical Signal Processing and Control | 2016 | 14 Pages |
•A 2D gel image is modeled using the inter-scale ratio of wavelet coefficients.•The image is divided into three distinct parts: spot regions, edges and background.•A single threshold is enough to extract the protein spots from the 2D gel image.•The proposed method provides more accurate segmentation than available methods.
2D-gel electrophoresis (2DGE) is an important technique in proteomics for analyzing the protein expressions. However, the analysis of 2DGE images is still a cumbersome and tedious task. One of the main reasons is the presence of a large amount of the inhomogeneities in the foreground and the background intensities. In this paper, we have proposed a novel approach of segmentation of the protein spots in the non separable wavelet domain. It utilizes the inter-scale relationship among enhanced wavelet coefficients, which can easily distinguish the different features of the image—the interior region of spots, the edges and the background. This technique is based on a single threshold and is independent of the gray value of the image. It copes with the inhomogeneities in the 2DGE images up to a great extent, which is helpful for finding the protein spots accurately. The artifacts are further removed using a non-threshold based method comprising a weighted Gaussian energy distribution model. Experimental results show that our method outperforms the available commercial software and previously reported works.
Graphical abstractFigure optionsDownload full-size imageDownload as PowerPoint slide