Sentence examples for extraction of shape from inspiring English sources

In the future, this analysis should enable extraction of shape as well as size information, up to the noise-defined limit of information present in the image.

In the present work continuous density, Hidden Markov Model (HMM) with Pearson R model is utilized for the extraction of shape based clusters from the input meteorological parameters and it is then processed by the Generalized Fuzzy Model (GFM) to accurately estimate the solar radiation.

In this work we proposed a method for the extraction of shape-based features.

Sung et al. (1996) suggested the use of Hough transform (HT), as a unique technique for the extraction of basic shape and motion analysis in noisy images, combined with the back-propagation neural network to improve the well-testing model identification.

The extraction of 3D shape from shading (3D SfS) involved predominantly ventral regions, such as V4 and a dorsal potion of TEO.

The extraction of 3D shape from texture (3D SfT) involves both ventral and parietal regions, in addition to early visual areas.

We used contrast-agent enhanced functional magnetic resonance imaging (fMRI) in the alert monkey to map the cortical regions involved in the extraction of 3D shape from the monocular static cues, texture and shading.

These results are similar to those obtained earlier in human subjects and indicate that the extraction of 3D shape from texture is performed in both ventral and dorsal regions for both species, as are the motion and disparity cues, whereas shading is mainly processed in the ventral stream.

Yet a number of studies have reported the involvement of LOC in the extraction of 3D shape.

The previous analysis demonstrated that only a part of LOC is involved in the extraction of 3D shape from monocular cues: only the posterior subpart of the post-ITG (LO) region in 3D SfS and only the post-ITG (LO) region but not the mid-FG (LOa) region in 3D SfT.

Originally applied to magnetic resonance image data, it turns out that this model applies well to the extraction of cylindrical shapes from CT data.