The development of image vision measurement technology_The development of image vision measurement technology

Computer image vision measurement technology originated in the 1950s. After decades of development, various research theories and research methods have emerged one after another. The research content has expanded from the original two-dimensional image edge analysis to the current dimensional complex scene understanding . The development of image vision measurement technology In the 1950s, the research of computer image vision measurement began with statistical pattern recognition. At that time, the work was mainly focused on the simple analysis and recognition of one-dimensional graphs, such as optical character recognition, and the surface of two pieces , Analysis and interpretation of microscopic pictures and aerial pictures. In the 1960s, Rabe’s restricted the environment to the so-called 'building block worldThe figure extracts the three-dimensional structure of polyhedrons such as cubes, wedges, and prisms, and describes the shape of objects and their spatial relationships. Roberts' research work pioneered the study of three-dimensional computer vision to understand the three-dimensional field tightness as H Field. A more complete visual theory was first proposed in the 1970s, and a number of visual application systems appeared at the same time. In the mid 1970s, the Massachusetts Institute of Technology (Massachusetts Insti plus te of Technology, MIT) artificial intelligence (Artificial plus te1ligencer Al) ) The laboratory officially opened the 'Computer Vision' course, which was taught by Professor BK Gimura Om, an international famous scholar. At the same time, the MITAT laboratory has attracted many well-known international scholars to participate in the research of computer vision theory, algorithm, and system design. Professor Oavid Marr from the United Kingdom is one of its elders. In 1973, he was invited to establish and lead the research of XiaoHyL with doctoral students in the MITAT laboratory, engaged in the research of visual theory. In 1977, MalT made a difference. The world of building blocks. Analysis method of computational vision theory (co-food putational vision theory)-Marr vision theory, this theory became an important theoretical framework in the field of computer vision research in the 1980s. In the mid-1980s, computer image vision measurement was booming, and new concepts, new methods and new theories continued to emerge, such as the theoretical framework of object recognition based on perceptual feature groups and the theoretical framework of vivid vision. Visual integration theory framework, etc. In the mid-1990s, computer image vision measurement technology entered a deep development. During the period of wide application, its functions and applications are gradually improved and promoted with the development of T_Industry Automation. Especially the rapid development of current image sensor, embedded technology, image processing and pattern recognition technology has greatly promoted the development of computer vision.