Analysis Technology of Surface Characteristics of Archaeological Relics Fragments Based on Image Processing

As the witness of history, the surface features of archaeological relics fragments contain rich historical information and cultural connotation. The purpose of this article is to discuss the surface feature analysis technology of archaeological fragments based on image processing, especially the application of image enhancement technology in this field, and put forward an effective analysis framework. In this article, image processing technology is introduced, and the application of image enhancement technology in the analysis of the surface characteristics of archaeological debris is studied emphatically. This framework will be able to accurately extract and analyze various features on the surface of cultural relics fragments, such as texture, shape, color and so on. Through comparative experiments, it is found that compared with the traditional convolutional neural network (CNN) model, the proposed method shows significant advantages in image enhancement precision, task processing time and feature analysis recall. The results show that this method can extract and analyze the surface characteristics of cultural relics fragments more effectively, and provide archaeologists with more accurate and comprehensive research materials.