As these artifacts severely degrades the image quality by obscuring significant image details, it is necessary to remove them, otherwise, post processing, such as noise reduction or segmentation of image information, becomes quite difficult.
Figure-ground is the segmentation of visual information into objects and their surrounding backgrounds.
With respect to the left IFG (probably area 44) Burton et al. (2000) argued that this region was involved in the segmentation of phonological information during language comprehension, since activation in this region was only observed when whole phonemes (but not single features of phonemes) had to be analysed for phonological same-different judgements.
In this article, we propose an evidential Markov chain that uses the Dempster Shafer combination rule to bring the effect of contextual information into segmentation of multisensor nonstationary data.
However, since the measure that we are trying to improve is the word error rate and since we did not want to rely on the existence of segmentation information, minimising the word error rate directly would be desirable.
Instead, discrimination between the different surfaces within the final ventricular mesh was obtained by performing a secondary segmentation of the MR data where only information regarding the two cavities and the outer surface was obtained and relating this back to the surface triangles in the original mesh.
Both levels of annotation unveil different types of errors in the corresponding stages of cell tracking, as shown in figures 3 and 4. Segmentation errors have some influence on the partitioning annotation: while over-segmentation is compensated for in the partitioning annotation, both mis-segmentation and under-segmentation lead to a certain loss of information.
The cues are considered and used in connection to both foveal and peripheral vision to provide depth information, segmentation of the object(s) of interest, object recognition, tracking and pose estimation.
3) Approaches combining multiple sources of information such as bronchi segmentation, vessel segmentation, and absence of larger vessels in proximity to the lobar boundaries to define robust 3D sublobar segments [ 6].
Motion boundaries ("kinetic boundaries") that are at locations where different motion cues meet, are an important source of information to achieve segmentation.
