Sentence examples for mean shift filtering from inspiring English sources

Lastly, we explore further uses of the permutohedral-lattice-based Gaussian filtering framework, showing that it can be easily adapted to perform mean shift filtering and yield improvement over the traditional approach based on a Cartesian grid.

In this work, entropy is used as the stopping criterion when segmenting an image by recursively applying mean shift filtering.

In this work, after the segmented image was obtained based on the recursively application of mean shift filtering, a binarization procedure was carried out according to algorithm No. 2. Some details on the original images are given next.

In Table 1, the case of recursively applying the mean shift filtering showed that the percent error for false negatives were equal to 0%; that is, all regions belonging to blood vessels were detected.

Therefore, if we consider entropy as a measure of the disorder within a system, it could be used as a good stopping criterion for an iterative process, by using mean shift filtering.

Numerical results of the comparison, by using the expression (10), were summarized in Table 1 (binarization obtained by recursively applying the mean shift filtering), Table 2 (binarization obtained by using graph), and Table 3 (binarization obtained via Otsu's method).

In other words, one can consider the new segmentation algorithm as a concatenated application of individual mean shift-filtering operations.

The steps of the developed previously binarization algorithm are the following: Run the mean shift-filtering procedure according to former steps, obtaining at Z the filtered image.

Firstly, mean-shift filter is used to smooth lip images.

The difference of mean-shift filter and other filter methods is that mean-shift only smooth the same color region and not smooth the color change region.

The extracted pitch values are normalized by the mean-shifting, median filtering, average filtering, and min-max scaling methods.