Reverse Recognition of the Digital Images for Chinese Cultural Relics

Abstract

This research used digital image processing theory, reverse image recognition and processing technology to digitize cultural relic images. To achieve it, grey theory is employed to detect the edges of ancient relic images. With a self-developed Delphi program to carry out an automated reverse recognition system, we obtained the image outline data. The data was then exported as Bezier curves by using 3D CAD software, a Solidworks' Application Programming Interface (API) technology. Case study examined in this research used an ancient bronze and jade relic from the National Palace Museum in Taiwan. Digitized outline data for these images were used to carry out totem designs. This process allows us to combine ancient relic images through the use of information technology, to assist the display of digitized designs for the digital cultural and creativity industry.

Research on the Identification and Application of Immovable Cultural Relics in the Historic City of Macau Based on Condition of Intelligent Remote Sensing Technology

“…In the machine learning algorithms, the requirement of filters is more, and the machine learning engineers design these filters. The machine learning algorithm of deep convolutional neural networks however generates these filters on their own thus simplifying the complicated process of machine learning and recognition of the sites of relics in Macau City [24]. The process is also referred to as the automatic feature extraction process.…”