Abstract
ABSTRACT The objective of this paper is to develop a real-time image enhancement and defect classification of the dynamic X-ray image system. The inspected products consist of variety of materials and need to rotate the product for inspection, it raised more challenges for generating a good quality image in using X-ray. First, acquire a series of static image substitute for dynamic image. Then, we used optimal image enhancement index to select adaptive enhancement algorithm for products A and B, respectively. Finally, based on the correlation coefficient, the proposed object search algorithm and the combined discriminate function classifier to process defect detection and classification. In this study, C++ Builder 6.0 were used to develop computer software, and interfaced with the X-ray machine originally used in the workplace, to process real-time image enhancement analyses. The experiment analysis results showed that the proposed analysis procedure could identify different products completel. And, contrast value of image enhancement can increase 17% and 40%, respectively. The accuracy of defects classification have 96% and 100%, respectively. The average on-line inspection time is about 0.8 second.
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