ECT image reconstruction method based on deconvolution network
A deconvolution network and image reconstruction technology, applied in image generation, image data processing, neural learning methods, etc., can solve the problems of incomplete sensitive field experience information, difficult to deal with complex sensitive field changes, etc., and achieve high-precision images. Reconstruction and increase the effect of spatial feature extraction
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[0038] Example one
[0039] Such as figure 1 Said, an ECT image reconstruction method based on a deconvolution network, is characterized in that it comprises the following steps:
[0040] S1, the mathematical model of ECT image reconstruction is established through the deconvolution network solving formula;
[0041] S2. Randomly generate geometric parameters to build a geometric model, make label data and training data;
[0042] S3. Build a deconvolution network model;
[0043] S4. Use the built deconvolution network model for training.
[0044] S5. Use a deconvolution network to realize ECT image reconstruction.
[0045] For the ECT problem, the shallow fully connected network has insufficient feature extraction capabilities and weak nonlinear fitting capabilities; the deep fully connected network has too many parameters, and the training period is time-consuming and inefficient. Therefore, the present invention proposes a deconvolution network solution formula. Unlike the fully connect...
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