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Abstract: The materials such as wood, cast and steel products,
because their density are more homogeneous, so their image profiles
which are inspected by ICT device must be binary-value images
approximately. Based on this prophetic knowledge, an optimization
strategy of maximum image-entropy and neural networks is adopted in
image reconstruction algorithms, the output functions of neural cells is
modified too. Moreover, the image illumination is fixed before and after
image reconstruction. The results of experimentation show that a high
resolution defects image of homogeneous material can be reconstructed
under only 6 projection angles of ICT device. So, there will be a good
approach to improve the work efficiency and reduce the cost of ICT
devices.
Key words: Industry CT Homogeneous material Defects exploration Maximum
image-entropy Neural network reconstruction algorithm
CLC No: TH7
广东省自然科学基金资助项目(04009469).
Received 20041213, received in revised form 20050510
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