Research On Dimension Measurement And Data Fluctuation Based On Image

The development of measurement technology is closely related to the development of human society. In recent decades, the rapid development of science and technology, in particular the extensive use of computer technology has created a new measuring technology-image measurement technology. Image-based measurement techniques, involving optoelectronics, computer image processing, laser technology and other subjects of modern measurement method, which integrates optical, mechanical, electrical, and control technology, is an integrated measurement system. The measurement system, in accordance with the measurement tools and with the measured part of the contacts can be divided into contact and non-contact two categories. Traditional contact measurement in practical applications in the limited measurement accuracy and real-time difference for the shortcomings, it is difficult to meet the production site measurement accuracy , reliability and real-time requirements. Non-contact measurement method as a new measurement method has its advantages, which use image technology, the measured object detection and image as a means of transmitting information, extracted from the image useful information can be obtained parameters measured.At present, a large number of domestic concern about image-based non-contact measurement research. However, in the course of the study encountered a lot of problems. This paper focus on the image-based strain measurement system in a study of the issue, including a few basic elements: (1) image-based package design strain measurement system, including hardware and software systems. (2) analysis of data cyclical fluctuations in the cause of the problem. (3) Data cyclical fluctuations in the solution to the problem.For over several aspects of the research work, the paper made the following arrangements: (1) first introduced in the second chapter image measurement and strain measurement system-related content , including Digital Image imaging , image measurement, sub-pixel positioning, materials strain Measuring four major areas. These aspects of the basic mature in theory, and practical application of the theory and inevitable errors. In particular, the sub-pixel positioning accuracy of the measurement method is necessarily lower than the theoretical measurement accuracy (2) Chapter 3 introduces the strain measurement system equipment and software systems main aspects. Hardware systems including testing machine equipment, light equipment, image acquisition equipment, computer equipment, such as the sample. Software system includes interface structure, data acquisition, data processing and data storage and display. Through that enable readers to understand the strain measurement system outline, the understanding of the main features of the system, (3) Chapter IV mainly use the Gaussian edge theory and simulation of the sub-pixel approach of different methods for locating and measuring the characteristics of the edge Characteristics (4) Chapter 5 for the main view of the actual situation on the process of measuring the noise problem and the problem of fluctuations in the data description and analysis; (5) Chapter VI and Chapter IV of the main chapter V from the digital image Features the verge of starting to consider sub-pixel detection of features, in view of fluctuations in the data problem, a number of solutions. For example, fuzzy edge law, a linear regression tilt edge, least squares sine curve fitting, V-shaped markings law.In short, this paper not only introduced strain measurement system software designing, but also proposed a solution for the problem of fluctuations in the data, basically completed the desired objectives. Among them, the volatility of other solutions for the application of image measurement of reference, a very good promotional sense. However, the least-squares sine curve fitting, V-labeling, such as certain limitations. Application of these methods of measurement, due to the need for a large number of calculation will affect the measurement speed. Therefore, to overcome the solution is higher in the application configuration of the CPU processor speeds. This paper studies the work involves only the measurement technique to image a small, the other aspects of this paper, not too much involved. Therefore, the future still a lot of work to do.