[A study on image processing of digital radiography and measure of material micro-density directly]

Due to the high influents of the device itself and the surrounding environment, the background brightness of the digital radiography image is uniform and the image shows big noise. Therefore, in order to identify digital radiography images precisely, a further image processing is necessary. In this study, adaptive filtering, histogram equalization techniques and difference image methods were used for image processing and the results show that these techniques were useful to denoise, to intensify brightness and to rectify the background. In order to verify the feasibility of these techniques, poplar wood samples of heterogeneous material were used as experimental materials and Micro-density was measured directly by applying the linear relationship between grey scale of DR image and penetrate material density and contrasted with the result of microdensitometer. The results show these techniques were feasible and even gave a more precise measurement on wood micro-density compared to microdensitometer.