This work introduces a novel method for the detection and segmentation of protein spots in 2D-gel images. A multi-thresholding approach is utilized for the detection of protein spots, while a custom grow-cult algorithm combined with region growing and morphological operators is used for the segmentation process. The experimental evaluation against four state-of-the-art 2D-gel image segmentation algorithms demonstrates the superiority of the proposed approach and indicates that it constitutes an advantageous and reliable solution for 2D-gel image analysis.
|Title of host publication||37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015|
|Number of pages||4|
|Publication status||Published - 2015|
- Electrophoresis, Gel, Two-Dimensional
- Image Processing, Computer-Assisted
- Journal Article
- Research Support, Non-U.S. Gov't