𝔖 Bobbio Scriptorium
✦   LIBER   ✦

The use of entropic thresholding methods in reconstruction of capacitance tomography data

✍ Scribed by A.J. Mwambela; Ø. Isaksen; G.A. Johansen


Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
1001 KB
Volume
52
Category
Article
ISSN
0009-2509

No coin nor oath required. For personal study only.

✦ Synopsis


High-quality reconstruction of capacitance tomography data is of vital importance to ensure quantitative information from such systems. Several methods have been tested, such as linear back projection (LBP), representing a fast and crude method, and model-based reconstruction (MOR) which significantly improves the results, although at higher computational cost. The main problem of using LBP is the smoothing effect on sharp transitions in the dielectric constant distribution. The reconstruction quality could be improved by including a thresholding procedure in the reconstruction process. In this work, entropic thresholding methods are used. These methods are compared to previously published thresholding techniques such as Xie's method and an implicit model-based reconstruction method. A computer simulated eight-electrode capacitance tomography system has been used for the evaluation.


📜 SIMILAR VOLUMES


Orthogonal projection sampling method us
✍ Yao Hongbing; Ye Xia; Zhou Jun; He Anzhi 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 506 KB

## Abstract An orthogonal projection sampling method is proposed in this paper for the reconstruction of incomplete data field by using the prior knowledge algorithm based on the modified algebra reconstruction technology (ART) in the optical computerized tomography (OCT). Experiments based to this

Investigation of the noise properties of
✍ Mark A. Anastasio; Xiaochuan Pan 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 297 KB 👁 1 views

In diffraction tomography (DT), the measured scattered data are unavoidably contaminated by noise. Because the detectability of an object in a noisy image relies strongly on the signal-to-noise ratio, it is important in certain applications to reduce the statistical variation in the reconstructed im

Gauss–Newton reconstruction method for o
✍ T. Tarvainen; M. Vauhkonen; S.R. Arridge 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 696 KB

The radiative transfer equation can be utilized in optical tomography in situations in which the more commonly applied diffusion approximation is not valid. In this paper, an image reconstruction method based on a frequency domain radiative transfer equation is developed. The approach is based on a