Application of Image Reconstruction Based on Inverse Radon Transform in CT System Parameter Calibration and Imaging | Zendy

Chunli Wang | Zendy; Hao-chi Zhang | Zendy; Zeyu Zeng | Zendy; Junhui Yu | Zendy; Yang Wang | Zendy

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Application of Image Reconstruction Based on Inverse Radon Transform in CT System Parameter Calibration and Imaging

Author(s) -

Chunli Wang,

Hao-chi Zhang,

Zeyu Zeng,

Junhui Yu,

Yang Wang

Publication year - 2021

Publication title -

complexity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.447

H-Index - 61

eISSN - 1099-0526

pISSN - 1076-2787

DOI - 10.1155/2021/5360716

Subject(s) - radon transform , calibration , computer science , computer vision , matlab , artificial intelligence , edge detection , projection (relational algebra) , position (finance) , enhanced data rates for gsm evolution , point (geometry) , canny edge detector , software , algorithm , image (mathematics) , image processing , mathematics , geometry , economics , statistics , finance , programming language , operating system

According to the requirements of CT system parameter calibration and imaging, using OpenCV and MATLAB software, the reverse Radon transform and the Canny edge detection algorithm in the projection edge methods can determine the position and geometry of two different media in the square tray based on given data. Besides, it can apply and analyze the shape and the absorption rate of the specified point, the accuracy, and stability of the template calibration parameters by this way, which enables designing a new template and calibrating the new parameters.

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