STUDY OF DYNAMIC X-RAY IMAGE ENHANCEMENT AND DEFECTS CLASSIFICATION

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, contr...