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Layered mean shift methods

Segmentation is one of the most discussed problems in image processing. Many various methods for image segmentation exist. The mean-shift method is one of them, wepropose a new method called Layered Mean Shift that...

IN - Informatika

  • 2013
  • D
  • Link
Result

Hierarchical Layered Mean Shift Methods

Many image processing tasks exist and segmentation is one of them. We are focused on the mean-shift segmentation method. Our goal is to improve its speed and reduce the over-segmentation problem that occurs with small spatial bandwi...

IN - Informatika

  • 2013
  • D
  • Link
Result

Human Mind as the Creator of Meaning of a Shift of Perspective

processes, a shift of perspective would not take place or have any meaning. The author argues that a reader/audience creates the meaning of a shift of perspective when the meaning of a shift of p...

AJ - Písemnictví, mas–media, audiovize

  • 2015
  • O
Result

Mean shift with flatness constraints

Mean shift still belongs to the intensively developed image-segmentation-segmentation and preserving the edges in mean shift too. However, we do not aim at proposing a further method for determining the bandwidth. ...

IN - Informatika

  • 2013
  • D
  • Link
Result

Fast Mean Shift Algorithm Based on Discretisation and Interpolation

A fast mean shift algorithm for processing the image data is presented. Although it is based on the known basic principles of the original mean shift method. The mean shift iterations are then car...

IN - Informatika

  • 2010
  • D
Result

Hierarchical evolving mean-shift

Segmentation and filtration are widely discussed problems in image processing. Mean shift and its variants belong to the most popular methods in this area. In this paper, we propose a new variant of relatively new evolving mean<...

IN - Informatika

  • 2012
  • D
  • Link
Result

Hierarchical Blurring Mean-Shift

In recent years, various Mean-Shift methods were used for filtration and segmentation of images and other datasets. These methods achieve good segmentation results Hierarchical Blurring Mean-Shift. The method achie...

IN - Informatika

  • 2011
  • Jx
  • Link
Result

Robust Scale-Adaptive Mean-Shift for Tracking

Mean-Shift tracking is a popular algorithm for object tracking since it is easy adaptation of the Hellinger distance based Mean-Shift tracker. We start from a theoretical derivation of scale estimation in the M...

JD - Využití počítačů, robotika a její aplikace

  • 2013
  • D
  • Link
Result

What is and what is not Contextualism

In TIL, the meaning is independent of context. This is possible because the shift of denotation is replaced by shift of supposition....

AA - Filosofie a náboženství

  • 2010
  • C
Result

Blurring mean-shift with a restricted data-set modification for applications in image processing

A new mean-shift technique, blurring mean-shift with a restricted dataset modification, is presented. It is mainly intended for applications in image processing since, in this case, the coordinates of the points en...

IN - Informatika

  • 2010
  • D
  • Link
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