کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
534258 | 870240 | 2011 | 9 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Structural matching of 2D electrophoresis gels using deformed graphs Structural matching of 2D electrophoresis gels using deformed graphs](/preview/png/534258.png)
2D electrophoresis is a well-known method for protein separation which is extremely useful in the field of proteomics. Each spot in the image represents a protein accumulation and the goal is to perform a differential analysis between pairs of images to study changes in protein content. It is thus necessary to register two images by finding spot correspondences. Although it may seem a simple task, generally, the manual processing of this kind of images is very cumbersome, especially when strong variations between corresponding sets of spots are expected (e.g. strong non-linear deformations and outliers). In order to solve this problem, this paper proposes a new quadratic assignment formulation together with a correspondence estimation algorithm based on graph matching which takes into account the structural information between the detected spots. Each image is represented by a graph and the task is to find a maximum common subgraph. Successful experimental results using real data are presented, including an extensive comparative performance evaluation with ground-truth data.
Journal: Pattern Recognition Letters - Volume 32, Issue 1, 1 January 2011, Pages 3–11