Multi-energy X-ray images fusion method based on fuzzy entropy and sparse representation for complex castings
Source abstract
Abstract
Abstract Single-energy X-ray imaging technique cannot form all areas exposure imaging of non-uniform thickness castings at a time. Hence a multi-energy X-ray image fusion method based on fuzzy entropy and sparse representation (SR) is proposed in this paper to overcome this disadvantage. First, effective information image patches are extracted according to fuzzy entropy, thus avoiding the interference of information missing areas on the features of the castings. Then, we design a fusion strategy based on fuzzy entropy to fuse the sparse coefficient vectors. The experimental results show that the internal structure of complex castings can be completely and clearly presented using the proposed fusion method. In addition, when the proposed dictionary is applied to multi-energy X-ray images of other complex non-uniform thickness castings, the internal structure of these castings can also be presented completely and clearly.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Advanced X-ray and CT Imaging · Advanced Image Fusion Techniques · Photoacoustic and Ultrasonic Imaging
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (29)
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