Research For Industry Ray Image Enhancement's Algorithm

Nowadays,X-ray image plays an important role in the field of secure detection,mediation and industry detection etc.It becomes an important impluse for the development of country.Because of the X-ray system inherent defect, the X-ray image must be handled in the computer.Based on the new X-ray image system,we mainly study X-ray image enhancement algorithms and gives some improved algorithms.The paper mainly include :1. It introduces the usual image enhancement theory.This kind of algorithm can be divided into two categories:airspace and frequency enhancement .Based on the X-ray image,we selectively does some experiments. These algorithms have some effects the on X-ray image enhancement.2. It systemly introduces the traditonal fuzzy enhancement and gives four improved algorithms.Else,it gives improved generalized fuzzy enhancement algorithm and multi-level fuzzy enhancement algorithm.For each algorithm,it gives quantitative comparation between the former algorithm and the improved algorithm.The experiment shows the improved algorithm better than the former algorithm.3. It creates a kind of algorithm that is how to use fuzzy sets to realize image enhancement based on wavelet transform.The first algorithm uses fuzzy enhancement for low frequency of wavelet transform imageThe second algorithm uses fuzzy enhancement for image of wavelet transform enhancment.It gives a detailed description for each algorithm.What's more,it gives quantitative comparation between two algorithms. The experiment shows that it can produce a best result of all.4. It uses unsharpening mask and mathematical morphology edge detection to design a new algorithm to realize image enhancement.It compensates defects of each algorithm.Moreover,it improves each former algorithm .Compared with the traditional edge enhancement , this algorithm makes the X-ray image more clear. The result shows that this method is feasible and useful for X-ray image enhancement.