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Image quality assessment on microwave tomography based on filtered-back-projection
Amri N.A.a, Kurnia Imanda D.a, Hamid E.Y.a, Munir A.a
a Institut Teknologi Bandung, School of Electrical Engineering Informatics, Radio Telecommunication and Microwave Laboratory, Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2020 IEEE.In this paper, the quality assessment of image reconstructed based on filtered-back-projection (FBP) on microwave tomography is presented. It is a common to use the algorithm of back-projection for image reconstruction in classical tomography where the imaging beam passes the object in a straight line. Here, the quality assessment is conducted for the image of cross-sectional wood of tree trunk reconstructed from the measured data at some frequency bands of microwave region, i.e. L-band, S-band, and C-band. Two different techniques of quality assessment, namely Mean Squared Error (MSE) and Structured Similarity Indexing Method (SSIM), are proposed to assess the image quality. The assessment results show that the use of FBP could produce better quality for both MSE and SSIM techniques. While the use of different frequency bands is insensitive to the result of quality assessment.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Different frequency,Filtered back projection,Image quality assessment,Indexing methods,Mean squared error,Microwave region,Microwave tomography,Quality assessment[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Filtered-Back-Projection (FBP),Mean Squared Error (MSE),Microwave tomography,Quality assessment,Structured Similarity Indexing Method (SSIM)[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/TSSA51342.2020.9310790[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]