TY - GEN
T1 - Image Classification in Microwave Tomography using a Parametric Intensity Model
AU - Alkhodari, Mohanad
AU - Zakaria, Amer
AU - Qaddoumi, Nasser
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2021/3/16
Y1 - 2021/3/16
N2 - A study is conducted to investigate the use of a parametric intensity model for the process of image classification in biomedical microwave tomography (MWT). This process allows for extracting structural information about an object-of-interest (OI), which can be incorporated as prior information in an inversion algorithm. The parametric intensity model is based on a supervised Gaussian probabilistic model. The generated intensity model is used to classify three cross-sectional MWT images of human lower leg models. The classification is based on a Bayesian decision classifier. The resulting segments are used to extract structural information about the legs’ contour.
AB - A study is conducted to investigate the use of a parametric intensity model for the process of image classification in biomedical microwave tomography (MWT). This process allows for extracting structural information about an object-of-interest (OI), which can be incorporated as prior information in an inversion algorithm. The parametric intensity model is based on a supervised Gaussian probabilistic model. The generated intensity model is used to classify three cross-sectional MWT images of human lower leg models. The classification is based on a Bayesian decision classifier. The resulting segments are used to extract structural information about the legs’ contour.
KW - Bayesian decision classifier
KW - Contrast source inversion
KW - Finite-element method
KW - Gaussian probability
KW - Microwave tomography
KW - Parametric intensity model
UR - http://www.scopus.com/inward/record.url?scp=85117930840&partnerID=8YFLogxK
U2 - 10.1109/ICCSPA49915.2021.9385746
DO - 10.1109/ICCSPA49915.2021.9385746
M3 - Conference contribution
AN - SCOPUS:85117930840
T3 - ICCSPA 2020 - 4th International Conference on Communications, Signal Processing, and their Applications
BT - ICCSPA 2020 - 4th International Conference on Communications, Signal Processing, and their Applications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Communications, Signal Processing, and their Applications, ICCSPA 2020
Y2 - 16 March 2021 through 18 March 2021
ER -