Application of machine vision in the large workpiece automatic flaw detection

Abstract: the application of machine vision in the large workpiece automatic flaw detection information produced by excellent flow meter, flow meter manufacturer to offer you the quotation. 1 the introduction machine vision is to use machines to replace human eyes do measurement and judgment. Machine vision system is to point to by machine vision products will be getting target into image signal, and then transmitted to the special information processing device for further processing of software and hardware equipment. By. More flow meter manufacturers choose model price quote you are welcome to inquire, here is a application of machine vision in the large workpiece automatic flaw detection article details. 1 the introduction machine vision is to use machines to replace human eyes do measurement and judgment. Machine vision system is to point to by machine vision products will be getting target into image signal, and then transmitted to the special information processing device for further processing of software and hardware equipment. Because the machine vision system can quickly get a lot of information, and easy to automatic processing, and to facilitate information integration and process control, therefore, in modern automated production process, people will be widely used in machine vision system condition monitoring, inspection and quality control, etc. The characteristics of the machine vision system is automatic, objective, non-contact, high precision, can easily improve the flexibility and automation of production. In some not suitable for manual operation of dangerous working environment or artificial vision is difficult to meet the requirements of occasions, commonly used machine vision to replace the artificial vision; In the process of mass industrial production, using artificial visual inspection product quality is not high, low efficiency and precision in machine vision detection method can greatly improve the production efficiency and automation of production. Because the machine vision is easy to realize information integration, is one of the basis of realizing computer integrated manufacturing technology. In a word, with the maturity and development of machine vision technology itself, it can be estimated in modern and get more and more extensive application in manufacturing enterprises in the future. As is known to all, industrial computed tomography (CT) technology as a kind of advanced nondestructive testing technology, it not only can be used for workpiece internal structure and defect nondestructive testing, quality evaluation, qualitative analysis and judgement, can also be done by measurement in industrial CT image artifact internal structure size and defect size measurement and quantitative analysis, high accuracy and good repeatability. In recent years, from the qualitative detection to develop in the direction of quantitative measurement is an important research direction of industrial computed tomography (CT) technology, and has made great progress. At home and abroad, however, a survey of industrial CT images were also depends on the manual method, not only the poor repeatability of measurement and measurement accuracy is not high, more and more difficult to meet the needs of the mass of the image processing work. Therefore, combining with the engineering practice, this paper aimed at some problems of manual measurement, the industrial CT image automatic measurement method to make some discussion, according to the characteristics of industrial CT image is put forward a kind of automatic measurement method based on edge detection. 2 canny edge detection principle introduction by industrial CT machine for large metal artifacts of CT images, and then transfer to the central management system, the system using image processing technology, to obtain the images were analyzed, and the extraction of workpiece defect size information, stored in a database, for image analysis system to the matrix organization of metal or other material, impurity content, group composition, defect size accurately and objectively analysis, provide reliable basis for the quality of products. Measured workpiece in terms of signal acquisition and transmission of photons after detector converts analog signal is converted to digital signal by A/D, in the process of the above, the edge of the area of different workpiece materials [ 1] , according to the CT reconstruction convolution back projection algorithm [ 2] The point spread principle, the real boundary edge range 3 pixels in digital map. The Canny edge detection problem is converted into a detection unit function maximum problem [ 3] 。 In gaussian noise, a typical of the strength of the edge represents a step change. （ 1) A good edge detection operator should have three indicators: low error probability, as well as major general lost the real edge, also to general the edge to be tried for edge; High positioning accuracy, detect the edge should be in a real edge position; Respond to each edge is *, to get to the edge of a single pixel wide. （ 2) Canny is proposed for determining the three principles of edge detection operator [ 4] : a good signal-to-noise ratio: good SNR criterion is not the edge points found to lower the probability of edge points, the edge points awarded for the lower risk of edge points.
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