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Circular-arc grid subdivision method used for electrical tomography sensitivity coefficient solving

A technology of electrical tomography and sensitivity coefficient, which is applied in the field of electrical measurement, can solve the problems of lack of rotation flexibility and inability to solve the sensitivity matrix quickly and flexibly, and achieve the effect of reducing computational complexity

Inactive Publication Date: 2016-06-22
TIANJIN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At the same time, such a meshing method also lacks the flexibility of rotation, and thus cannot quickly and flexibly solve the sensitivity matrix

Method used

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  • Circular-arc grid subdivision method used for electrical tomography sensitivity coefficient solving
  • Circular-arc grid subdivision method used for electrical tomography sensitivity coefficient solving
  • Circular-arc grid subdivision method used for electrical tomography sensitivity coefficient solving

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Embodiment Construction

[0019] The electrical tomography image reconstruction method adopting the sensitivity solving method of the present invention comprises the following steps:

[0020] Step 1. According to the measured field, obtain the boundary measurement value vector b required to reconstruct the image, and determine the radius r of the circular measured field 测 ;

[0021] Step 2: Determine the number of concentric circles N and the radius M of the bisected circles to divide the circular field, then the number of pixels to be divided can be obtained: N×M, where M is the integer of the number of electrodes in the electrical imaging system times and the radius of N concentric circles must satisfy the following formula:

[0022]

[0023] Among them, r 1 ,r 2 ,r 3 ,...,r n In turn, it is the radius of the concentric circle from the inside to the outside, r 测 is the radius of the measured field;

[0024] Step 3, the specific coordinates of each pixel in the measured area can be obtained,...

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Abstract

The invention relates to a circular-arc grid subdivision method used for electrical tomography sensitivity coefficient solving. The method comprises the following steps of determining a concentric circle number N of a subdivision circle field domain and a radius number M of an equally-divided circle, wherein the M is an integral multiple of the number of electrodes in an electronic imaging system; acquiring a concrete coordinate of each pixel in a detected area; based on a subdivided circular-arc pixel and according to a traditional method, solving a sensitivity coefficient of a first electrode pair relative to other electrode pairs, rotating an acquired result and acquiring residual sensitivity coefficients so that a sensitivity coefficient matrix can be obtained. A computation complexity of a sensitivity matrix is reduced and a speed of reconstructing an image can be increased.

Description

technical field [0001] The invention belongs to the field of electrical measurement, and in particular relates to electrical tomography technology. Background technique [0002] Electrical tomography (Electrical Tomography) technology is a process parameter detection technology developed on the basis of electromagnetic field theory. Based on different electrical parameter distributions, different boundary responses will be caused, thereby reconstructing the material distribution of the measured field. Compared with other tomography techniques, electrical tomography has the advantages of fast response, no radiation and low price, and has attractive development prospects in industrial measurement and medical monitoring. [0003] The solution method of electrical tomography problem generally adopts numerical calculation method, which needs to divide the measured field into a grid, so as to realize the discretization calculation of pixels. Generally, the traditional method is t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/10072
Inventor 岳士弘孙犇渊崔自强王化祥
Owner TIANJIN UNIV