Architectural design visual information mining system based on image processing technology

Abstract With the rapid development of modern society and economy, various types of science and technology have also achieved relatively rapid development, which has led to significant changes in all walks of life in modern society. This change not only makes modern society transition toward an information society but also makes people in modern society obtain more convenience. The construction industry has also achieved higher quality development with the development of science and technology, especially through the informatization reform of existing technical means in multiple processes such as building design and construction, which has saved a lot of manpower and material resources. The most important aspect in the field of architecture is the design work before construction, and the degree of refinement in this process also determines the merits of the building to a certain extent. Therefore, the field of architectural design has also received more attention from relevant researchers. At the same time, the further development of social economy in the new era also puts forward more requirements for architectural design in the construction industry, which urges researchers to conduct in-depth research on existing architectural design. At the same time, combining some emerging information technologies, a new architectural design mode with better structure and performance is proposed. Image processing technology mainly uses computer algorithms to collect images, thereby converting these images into digital signals that can be recognized by a computer, and then displaying them on a computer display. This image processing technology can also identify and extract information from images, thereby displaying the key information therein. This article mainly analyzes image processing techniques and some data analysis algorithms to obtain the feasibility of their application in visual information mining systems for architectural design. The contribution of this study is to propose a new architectural design visual information mining system based on image processing technology and data analysis algorithms, and conduct experimental studies to prove that it is superior to existing systems in terms of information extraction accuracy, processing speed, and user convenience. The experimental results show that compared with the existing architectural design data mining system, the new system has an average performance improvement of 25.9% in many aspects, which marks an important step forward in the field of architectural design informatization. In addition, this study also provides a new perspective for the construction industry, i.e., applying image processing and data analysis technology to the design process to improve design quality and efficiency.