IMPLEMENTATION ITS MICROWAVE TOMOGRAPHY AND IMAGE RECONSTRUCTION USING COMPRESSIVE SENSING METHOD
Microwave tomography is a technique for observing internal structure of an object using microwave emitted for various angles. In this research, image reconstruction using microwave is carried out for the detection of porosity in a tree trunk. The compressive sensing (CS) method is used in the ima...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/67874 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Microwave tomography is a technique for observing internal structure of an
object using microwave emitted for various angles. In this research, image
reconstruction using microwave is carried out for the detection of porosity in
a tree trunk. The compressive sensing (CS) method is used in the image
reconstruction by applying the least absolute shrinkage and selection
operator (LASSO) function to increase the accuracy of linier regression
model. This research consists of image reconstruction with test image using
cross-sectional image of a tree trunk and image reconstruction using data
measurement at the frequency band of 2 GHz – 4 GHz. Quality of assessment
of the image reconstruction results in this study is performed objectively using
image parameters based on mean square error (MSE) and structural
similarity index measure (SSIM) for the test image, and subjectively by
analyzing the visual image quality for the measurement data. From the
reconstruction process, accurate test image reconstruction results are
obtained for the image size of 128×128 pixels and an alpha of 0,001 with an
MSE value of 0.0011 and an SSIM value of 0.9019. The image reconstruction
using the measurement data at the frequency of 3 GHz is able to describe well
the cross section of the tree trunk and can represent a clearly color intensity. |
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