In this study, an EIST method based on improved electrical impedance tomography (EIT) is proposed to detect the distribution of the complex in the sensor. According to the impedance of different objects at different frequencies, each test object is imaged separately, and finally a clear and accurate image of the distribution of all components was combined by the algorithm. A simulation model for testing EIST is created. In the simulation result, the synthesis reconstruction image is combined by the distributions of different objects which are reconstructed at each frequency, the frequency of each object has the max difference of impedance to the medium. The simulation reveals EIST has the feasibility to detect the multicomponent in the sensor. In the end, the distribution of banana and carrot in water were detected by experiment, and the experimental results showed that this method could effectively detect the distribution of different substances.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.