In this article, an innovative model is proposed for detecting brain tumors and glioblastoma multiforme disease patterns (DBT-GBM) in medical imaging. The DBT-GBM model mainly includes five steps, the image conversion in the L* component of the L*a*b* space, an image sample region selection,...

The K-means is a popular clustering algorithm known for its simplicity and efficiency. However the elapsed computation time is one of its main weaknesses. In this paper, the authors use the K-means algorithm to segment grayscale images. Their aim is to reduce the computation time elapsed in the...

As a part of the Computer Vision domain, layout analysis is the process through which the regions of interest from a document available as an image are being classified. A scanned file could be an example of such a document. The components of the layout analysis process are: the geometrical...

Several computational approaches try to help the researchers to establish the correspondence between pairs of proteins of multiple 2D gel images. In this work, an approach based on block-matching techniques is developed. Its main characteristic is that it does not need to perform the whole...