원문정보
초록
영어
According to the image reconstruction accuracy influenced by the “soft field” nature and the limited projection data in electrical capacitance tomography, based on the working principle of the electrical capacitance tomography system, a Novel image reconstruction algorithm based on compressed sensing is proposed in the paper. The method based on ART (algebra reconstruction technique) organically combines the gradient sparse of image and ART, and reduces the norm of image gradient with full-variational method, and improves the accuracy and speed of image reconstruction. Experimental results and simulation data indicate that the imaging accuracy is markedly improved, and the image is closed to the prototype. This new algorithm presents a feasible and effective way to research on image reconstruction algorithm for Electrical Capacitance Tomography System.
목차
1. Introduction
2. Basic Principle of ECT System
2.1. Structure ECT System
2.2. Measurement Principle
2.3. Mathematical Principle of Image Reconstruction
3. Image Reconstruction Algorithm based on Compressed Sensing
3.1. Compressed Sensing Principle
3.2. Minimum Full-variational Method
4. Author Name(s) and Affiliation(s)
3.3. ART Image Reconstruction Algorithm based on Compressed Sensing
4. Experimental Results and Analysis
Acknowledgements
References