2D-GE image analysis focusing on elimination of spurious spots

2D Gel Electrophoresis image analysis is widely recognized as one of the most crucial processes following a proteomic experiment. Amongst its stages, detection and segmentation are the most challenging ones. The available software packages and techniques fail to detect and segment some of the real spots while they often detect a vast number of spurious spots. In this paper, an original approach to analyze gel electrophoresis images is presented. The proposed approach is an improvement on our earlier version because it tackles the aforementioned deficiencies of existing software programs and techniques in a more efficient manner. The experiments conducted on a set of 16-bit 2D gel electrophoresis images, demonstrate that it outperforms state-of-the-art methods. Indeed, it detects more real protein spot, as well as eliminates spurious spots.