Research On Grave Stone Art-carving In Southern Sichuan Of Southern Song Dynasty And Computer Image Identification Application

The grave stone-carving in southern Sichuan of Southern Song Dynasty, boasts colorful meaning, elegant carving, unique style and artful design, which is rare in all dynasties of ancient China. Since its excavation, the carving cluster has been well known for its large scale to the cultural relic circle home and abroad, and it is the valuable tangible material for our research on grave stone-carving in ancient China. At present, the research on the grave stone-carving in southern Sichuan of Southern Song Dynasty is very few. Therefore, this research had an in-depth analysis and discussion on two kinds of the most artistic grave stone-carvings featuring flower, bird & animal and attendant respectively, thus to explore the beauty of form, style, artistic conception and the significance of these stone-carvings, and to search for its deeper moral meaning and artistic value.In the research, the image identification technology has been applied to the research on grave stone-carving in southern Sichuan of Southern Song Dynasty. And the author established digital image, characteristics and identification libraries for the stone-carving, which is the initial trial for application research of the pattern recognition on the stone-carving. And applying automatic identifying system for the grave stone-carving in southern Sichuan of Southern Song Dynasty provides a scientific identifying method for the art researchers. The system enjoys practical value for improved identification precision and shortened work time. Moreover, the research achievement of the system is not only applicable for the grave stone-carving in southern Sichuan of Southern Dynasty, but also significant to the development of identifying system for the grave stone-carving in every dynasty of ancient China. And the research of this dissertation mainly refers to:Chapter I: Discussed the purpose and significance of the research, summarized the research status of grave stone-carving in southern Sichuan of Southern Song Dynasty and relevant fields of computer, analyzed the image characteristics of the grave stone-carving in southern Sichuan of Southern Song Dynasty, discussed the specific means of research on identifying stone-carving image and briefly introduced the technical approach, innovations and main contents of the dissertation.Chapter II: Analyzed the artistic characteristics of the grave stone-carving featuring flower, bird and animal in southern Sichuan of Southern Song Dynasty, compared it with other carvings of the same kind in Southern Song and that of other dynasties, and discussed the outline, aesthetic and humanistic characteristics of these carvings, thus to show its deeper cultural and symbolic meanings.Chapter III: Practiced a deep discussion on the artistic, style and regional features of the grave stone-carving featuring attendants in southern Sichuan of Southern Song Dynasty via analyzing its artistic feature and comparing it with other carvings of the same kind in Southern Song and that of other dynasties, especially had an exploratory research for the unique chair design, fineries and the art conception.Chapter IV: Put forward the method of pre-treating the grave stone-carving image in southern Sichuan of Southern Song Dynasty, based on the technologies such as the transformation of morphology, and then brought up specific plans on feature extraction and selection according to the characteristics of the grave stone-carving image; subsequently, had a study for the template matching method of the key image identification technology aspects, and realized the application of automatic identifying system for the grave stone-carving in southern Sichuan of Southern Song Dynasty. Finally, made an improvement for the system through tests, and proved the effectiveness of the system.Chapter V: The design system interface showed the identifying outcome. Thus the availability of the identifying system was further verified by using the statistic method and questionnaire, contrasting and analyzing the precision, related coefficient and efficiency between system identification and manual identification.