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Highlights ► A framework (GLT) is presented as the basis for the development of noninvasive shape descriptors. ► The mathematical properties of the descriptor VAR are investigated, showing a relation to important shape features in an intuitive manner. ► A closed form equation of the...
Highlights ► Medical Images and GAR model. ► New GAR based model to deal with several ROIs. ► Applied to 3D, 4D, HD and LD medical images from differents organs. ► Validation against expert delineation.
Highlights ► Prior knowledge used : The relationships among pixels are explored by utilizing the imposed constrains. ► Adaptive resolution : Adaptive resolution to the slope requires little storage cost. ► Multiple scales detection : Line Extraction refers to the length, without exhausting...
Highlights ► Anomaly detection through the trajectory analysis with graph.based machine learning. ► Automatic transformation of trajectories in a graph using Voronoi tessellation. ► Novel similarity measure between graphs which accounts for geometrical invariants.
Highlights ► The method is given to registration and volume reconstruction of tissue sections. ► The ultimate goal is to achieve results with fast speed and little interaction. ► The innovative aspects are improved MI, hybrid optimizer and improved S-W algorithm. ► The reconstructed 3D...
Highlights ► Investigation of heavy cost of random sampling in high breakdown robust estimators. ► Introducing a new high breakdown estimator (HBM-estimator). ► Designing HBM similar to other M-estimators, thus, no need for random sampling. ► Comparing HBM performance with state of the...
Highlights ► We not only state bright pupil effect, but also illustrate the influence of wavelength on this kind of phenomenon, which other papers about pupil detection based on active infrared illumination hardly mentioned. ► Face-pupil detection order in our paper can eliminate fake pupil...
Highlights ► Deformable Probability Maps (DPMs) for image segmentation. ► DPMs: graphical probabilistic models with deformable model properties. ► DPMs handle clutter, higher scale textures, local intensity and texture variations. ► DPMs were compared with deformable models and...
Highlights ► Color textured image segmentation based on multichannel prediction linear models. ► Different parametric priors for approximating the distribution of prediction errors. ► Multivariate Gaussian law, Wishart law and multidimensional Gaussian mixture model. ► Comparison of...
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