TY - GEN
T1 - Compressive Sensing Approach with Double Layer Soft Threshold for ECVT Static Imaging
AU - Andryani, Nur Afny C.
AU - Sudiana, Dodi
AU - Gunawan, Dadang
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/13
Y1 - 2018/12/13
N2 - Electrical Capacitance Volume Tomography (ECVT) is a capacitance based tomography technology which is developed since its advantages on non-invasive properties, low energy, and portability. One of the challenge on developing this tomography technology is on its imaging algorithm. Naturally the imaging method forms under-determined linear system which is indicated by dimension of the measurement is much smaller compared to the projected value dimension. Mathematically it implies ill-posed inverse problem. Therefore Compressive Sensing framework is used to solve the corresponding inverse problem. To improve the accuracy of the predicted image reconstruction, new threshold approach, Double Layer Soft Threshold, is proposed and attached to the proposed Compressive Sensing based ECVT imaging method. The simulations results show that the proposed method is able to improve the conventional ECVT imaging method, Iterative Linear Back Projection (ILBP), by significantly eliminating the elongation error.
AB - Electrical Capacitance Volume Tomography (ECVT) is a capacitance based tomography technology which is developed since its advantages on non-invasive properties, low energy, and portability. One of the challenge on developing this tomography technology is on its imaging algorithm. Naturally the imaging method forms under-determined linear system which is indicated by dimension of the measurement is much smaller compared to the projected value dimension. Mathematically it implies ill-posed inverse problem. Therefore Compressive Sensing framework is used to solve the corresponding inverse problem. To improve the accuracy of the predicted image reconstruction, new threshold approach, Double Layer Soft Threshold, is proposed and attached to the proposed Compressive Sensing based ECVT imaging method. The simulations results show that the proposed method is able to improve the conventional ECVT imaging method, Iterative Linear Back Projection (ILBP), by significantly eliminating the elongation error.
KW - Compressive Sensing
KW - Double Layer Soft Threshold
KW - Electrical Capacitance Volume Tomography
KW - Imaging method
UR - http://www.scopus.com/inward/record.url?scp=85060446565&partnerID=8YFLogxK
U2 - 10.1109/ICITACEE.2018.8576915
DO - 10.1109/ICITACEE.2018.8576915
M3 - Conference contribution
AN - SCOPUS:85060446565
T3 - Proceedings - 2018 5th International Conference on Information Technology, Computer and Electrical Engineering, ICITACEE 2018
SP - 379
EP - 384
BT - Proceedings - 2018 5th International Conference on Information Technology, Computer and Electrical Engineering, ICITACEE 2018
A2 - Facta, Mochammad
A2 - Riyadi, Munawar Agus
A2 - Arfan, M.
A2 - Widianto, Eko Didik
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Information Technology, Computer and Electrical Engineering, ICITACEE 2018
Y2 - 26 September 2018 through 28 September 2018
ER -