Automatic Virus Particle Selection—The Entropy Approach

Maria da Conceição M. Sangreman Proenca, J. F. Moura Nunes, A. P. Alves de Matos
2013 IEEE Transactions on Image Processing  
This paper describes a fully automatic approach to locate icosahedral virus particles in transmission electron microscopy images. The initial detection of the particles takes place by automatic segmentation of the entropy-proportion image; this image is computed in particular regions of interest (ROIs) defined by two concentric structuring elements contained in a small overlapping window running over all the image. Morphological features help to select the candidates, as the threshold is kept
more » ... w enough to avoid false negatives. The candidate points are subject to a credibility test based on features extracted from 8 radial intensity profiles in each point from a texture image. A candidate is accepted if these features meet the set of acceptance conditions describing the typical intensity profiles of these kinds of particles. The set of points accepted is subjected to a last validation in a 3-parameter space using a discrimination plan that is a function of the input image to separate possible outliers.
doi:10.1109/tip.2013.2244216 pmid:23380855 fatcat:qhlqydyptbeyzghi4pjma2as4i