A Fixed-Point Iterative Method for Discrete Tomography Reconstruction Based on Intelligent Optimization

Discrete Tomography (DT) is a technology that uses image projection to reconstruct images. Its reconstruction problem, especially the binary (0–1 matrix) has attracted strong attention. In this study, fixed point iterative method of integer programming based on intelligent optimization proposed optimize reconstructed model. The solution process can be divided into two procedures. First, DT problem reformulated polyhedron judgment lattice basis reduction. Second, fixed-point Dang and Ye used judge whether an exists in previous program. All programs involved study are written MATLAB. final experimental data show obviously better than branch bound terms computational efficiency, case high dimension. requires more operations takes long time. It also needs store large number leaf node boundaries corresponding consumption matrix, which occupies memory space.