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Difference between revisions of "Descriptor Proposed JFMR"

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(Model Mathematic)
(Model Mathematic)
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= Model Mathematic =
 
= Model Mathematic =
  
Given a vector field <math>\vec{V}</math>, a way to classify this configurations is through the use of phase portrait, this method is used in the dynamic system to understand the behavior of functions of 2 or  more variables.  
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Given a vector field <math>\vec{V}</math>, a way to classify this configurations is through the use of phase portrait, this method is used in the dynamic system to understand the behavior of functions of 2 or  more variables, in computer vision is used in the detection corner, mammography and others.  
this method consists in to construct a equation system and to calculate the determinant and the trace, in computer vision is used in the detection corner, mammography and others
+
 
 +
This method consists in to construct a equation system that allows to calculate the determinant and the trace, at calculate those, we can obtain a way of classify this configurations

Revision as of 18:28, 19 September 2015

Definition

Given a vector field \vec{V}=(u,v), where u and v represent the components of the winds of each of the annotations.

The vector field representation allow to observe the behavior of the winds in a determined region, these configurations are:

  • Vortex
  • Confluence
  • Difluence
  • Saddle Point

The meteorologists annotated the different configurations that it can present in a period of time and a level determined, this process was done with an annotations tool that allow to select this configurations.

Model Mathematic

Given a vector field \vec{V}, a way to classify this configurations is through the use of phase portrait, this method is used in the dynamic system to understand the behavior of functions of 2 or more variables, in computer vision is used in the detection corner, mammography and others.

This method consists in to construct a equation system that allows to calculate the determinant and the trace, at calculate those, we can obtain a way of classify this configurations