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Original Articles

Fast post-processing algorithm for improving electrical capacitance tomography image reconstruction

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Pages 65-74 | Received 15 Dec 2003, Accepted 31 Oct 2005, Published online: 20 Aug 2006

Figures & data

Figure 1. View of a typical capacitance tomography sensor.

Figure 1. View of a typical capacitance tomography sensor.

Figure 2. Post-processing the model tomography image: n = 21,ϵ2 = 3.

Figure 2. Post-processing the model tomography image: n = 21,ϵ2 = 3.

Figure 3. Post-processing the model tomography image: n = 51,ϵ2 = 3.

Figure 3. Post-processing the model tomography image: n = 51,ϵ2 = 3.

Figure 4. Post-processing the model tomography image: n = 101,ϵ2 = 3.

Figure 4. Post-processing the model tomography image: n = 101,ϵ2 = 3.

Figure 5. Reconstruction of the permittivity distribution by the EIT2D program.

Figure 5. Reconstruction of the permittivity distribution by the EIT2D program.

Figure 6. Post-processing EIT2D image: n = 31ϵ2 = 3.

Figure 6. Post-processing EIT2D image: n = 31ϵ2 = 3.

Figure 7. The experiment.

Figure 7. The experiment.

Figure 8. Pre-reconstructed by LBP image of the experiment.

Figure 8. Pre-reconstructed by LBP image of the experiment.

Figure 9. Post-processed image of the experiment.

Figure 9. Post-processed image of the experiment.

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