Using Image Feature Extraction to Identification of Ancient Ceramics Based on Partial Differential Equation

This paper presents an in-depth study and analysis of the image feature extraction technique for ancient ceramic identification using an algorithm of partial differential equations. Image features of ancient ceramics are closely related to specific raw material selection and process technology, and complete acquisition of image features of ancient ceramics is a prerequisite for achieving image feature identification of ancient ceramics, since the quality of extracted area-grown ancient ceramic image feature extraction method is closely related to the background pixels and does not have generalizability. In this paper, we propose a deep learning-based extraction method, using Eased as a deep learning support platform, to extract and validate 5834 images of 272 types of ancient ceramics from kilns, celadon, and Yue kilns after manual labelling and training learning, and the results show that the average complete extraction rate is higher than 99%. The implementation of the deep learning method is summarized and compared with the traditional region growth extraction method, and the results show that the method is robust with the increase of the learning amount and has generalizability, which is a new method to effectively achieve the complete image feature extraction of ancient ceramics. The main content of the finite difference method is to use the ratio of the difference between the function values of two adjacent points and the distance between the two points to approximate the partial derivative of the function with respect to the variable. This idea was used to turn the problem of division into a problem of difference. Recognition of ancient ceramic image features was realized based on the extraction of the overall image features of ancient ceramics, the extraction and recognition of vessel type features, the quantitative recognition of multidimensional feature fusion ornamentation image features, and the implementation of deep learning based on inscription model recognition image feature classification recognition method; three-layer B/S architecture web application system and cross-platform system language called as the architectural support; and database services, deep learning packaging, and digital image processing. The specific implementation method is based on database service, deep learning encapsulation, digital image processing, and third-party invocation, and the service layer fusion and relearning mechanism is proposed to achieve the preliminary intelligent recognition system of ancient ceramic vessel type and ornament image features. The results of the validation test meet the expectation and verify the effectiveness of the ancient ceramic vessel type and ornament image feature recognition system.

Research on the Application of Internet of Things and VR Technology in the Protection and Development of Shouzhou Kiln

The Internet of things (IoT) has changed the information transmission mode of people, things, and services. The new functional experience will bring users an efficient, convenient, and safe lifestyle. Virtual reality (VR) technology, also known as spiritual environment technology, is a new stage of the development of computer and information technology. It is an important auxiliary tool in the fields of R & D, production, education, and so on. As one of the six most famous kilns in the Tang Dynasty (618–907 BC), Shouzhou kiln plays an important role in the history of ceramics in China and even in the world. However, due to the long history, incomplete site preservation, fragile ceramic materials, and lack of effective promotion and publicity, it has been difficult to make a breakthrough in the protection and development of Shouzhou kiln. VR technology makes comprehensive use of computer software and hardware, breaks the barrier between virtual and reality, and provides a new idea for the protection and development of Shouzhou kiln. On the basis of fully combing the principle of VR technology and analyzing the application possibility of VR technology, firstly, focusing on the history and from the perspective of archaeological research of Shouzhou kiln, this paper discusses how to use VR technology to realize the restoration of ancient kiln sites, ancient ceramics, ancient ceramics technology, and relevant data preservation of Shouzhou kiln. Secondly, focusing on the present, this paper discusses the application of VR technology and Internet of things technology in Shouzhou kiln ceramic product design, Shouzhou kiln process technology improvement, Shouzhou kiln ceramic product display, and Shouzhou kiln marketing. Finally, focusing on the future, this paper discusses the application prospect of VR technology in the inheritance of Shouzhou kiln technology and the promotion of Shouzhou kiln ceramic culture. It is expected to explore feasible paths and methods for the protection, inheritance, and development of ancient ceramic culture in China and even the world through the discussion of VR technology involved in the protection and development of Shouzhou kiln.

Synchrotron X-ray Microprobes: An Application on Ancient Ceramics

Synchrotron X-ray µ- and nano-probes are increasingly affirming their relevance in cultural heritage applications, especially in material characterization of tiny and complex micro-samples which are typical from archaeological and artistic artifacts. For such purposes, synchrotron radiation facilities are tailoring and optimizing beamlines and set-ups for CH, taking also advantages from the challenges offered by the third-generation radiation sources. In ancient ceramics studies, relevant information for the identification of production centers and manufacture technology can be obtained in a non-invasive and non-destructive way at the micro-sample level by combining different SR based methods. However, the selection of appropriate beamlines, techniques and set-ups are critical for the success of the experiments. Fine and varnished wares (e.g., Attic and western-Greek colonial products) are an excellent case study for exploring challenges offered by synchrotron X-ray microprobes optimized to collect microchemical and phase-distribution maps. The determination of provenance and/or technological tracers is relevant in correctly classifying productions, often based only on ceramic paste, gloss macroscopic features or style. In addition, when these vessels are preserved in Museums as masterpieces or intact pieces the application of non-invasive approach at the micro sample is strictly required. Well-designed synchrotron µXRF and µXANES mapping experiments are able providing relevant clues for discriminating workshops and exploring technological aspects, which are fundamental in answering the current archaeological questions on varnished Greek or western-Greek colonial products.

Archaeometallomics as a Tool for Studying Ancient Ceramics

In this paper, the concept of archaeometallomics is put forward to study the role of metal elements in cultural relics. An example is the influence of metal elements in the identification of their origin, dating, authenticity and the technology used for the production of ancient ceramics. This analysis also provides the social and cultural connotations of the development process of that time and shows that there is a close relationship between the rich glaze varieties and the metal elements in porcelain. The application of different analytical techniques in studying metallic elements in ancient ceramics is also briefly summarized. The construction of a metal element composition database and the related questions in the glaze color-forming mechanism of ancient relics should be considered an important research direction for future works.

“Melodias Visuais, Poesias Musicais: Antiguidade Sonoras”

This report deals with the activities carried out at the XX Jornada de História Antiga [XX Ancient History Conference], promoted by LECA (Laboratory of Studies on Ancient Ceramics) and held at UFPEL (Universidade Federal de Pelotas, Brasil); the conference was devoted to ancient Greek and Roman music, with a multidisciplinary approach. Here we present its aims, a description of the meeting, and some of the outcomes which resulted from the event.