Sentence examples for mean shift segmentation from inspiring English sources

The BP algorithm we used for calculating the disparity map was based on belief propagation and mean shift segmentation [10].

Finally the mean shift segmentation was initialized from the seed positions into which the k-means converged into.

The core of this step is based on the mean shift segmentation algorithm, which we embedded into a parallel environment, allowing it to run multiple kernels simultaneously.

A mean shift segmentation technique gave the best results, but for real-time constraints we simply implemented an image quantification method based on the HSL colour system.

In mean shift segmentation, a new data vector is created according to the following equation: x i = x i + m h, g. (7).

For mean shift segmentation a multivariate kernel defined according to (35) in [22] as the product of two Epanechnikov kernels, one for the spatial domain (pixel coordinates) and one for the range domain (color), is used.

It is a modified and optimized version of Backprojection-based mean-shift segmentation (BackMS) method.

In this study, a novel performance optimization approach for image segmentation, i.e. simulated annealing-based mean-shift segmentation (SAMS), is proposed and implemented.

The homogeneous color regions in which the propagation is performed are obtained by the mean shift color segmentation algorithm.

We used the synergistic segmentation, 19 which combines mean shift based color image segmentation 21 with edge confidence and gradient maps.

Zhou et al. [17] employed the mean shift procedure for volume segmentation.