The 125mn Extruder Based On Image Processing On The Detection System Design And Research,

The industry measurement based on digital image processing technology abroad has been studied and applied extensively, in country which has also been taken more and more attention. With the continuous decrease of computer hardware cost and gradual development of related technology, the technology overcomes the traditional measurement of low accuracy and inadequate efficiency. Its fast, non-contact, precision, and other characteristics become an important means of industrial detection method. In this paper ,it takes the 125 MN extruder reconstruction project as a research background, brokers through the traditional means of micro-displacement detection methods, and studies the camera remote access and control of extrusion detection system based on digital image detection technology. Special for the deficiencies of the USB interface camera in the industrial scene use, camera control system designed to solutions three key technologies: remote transmission of the image acquisition system, the camera selection and the system working stability. It takes Visual C + + as the development platform ,and Opencv (Intel Open Source Computer Vision Library) as a complementary development tools, using image processing technology, according to squeeze Centre detection algorithm model, to realize center detection of the extrusion machine.In this paper, involved in the digital image processing technology, image segmentation and calibration measurement system are the key technology sectors. Through algorithm and process model of two laser beams in the imaging device to obtain the position of Extruder extrusion Centre, the first and foremost task is to achieve the laser spot and the background image segmentation. In the thesis, by comparing the various image segmentation algorithm models, using the Otus segmentation method to achieve the image segmentation based on the pre-image processing, and then the center-gravity-method was applied to get the laser spot position coordinates. During above image processing, the method how to eliminate the manufacturing and installation error of camera lens distortion of the image becomes an important way of improving the accuracy of detecting. Through comparing various camera calibration theory methods, the paper uses the traditional paper camera calibration technique based on the plane of the camera calibration template technology, focuses on the camera internal parameters of the solution aberration coefficient, and then the distortion ratio was used to correct the camera distortion coefficient Image. The system in the installation of hardware equipment in the course of the tilt of the impact test results was analyzed. To the theoretical basis for research topics from a practical project application, by using the digital image processing and microprocessor control technologies, developed the detection system in the collection and processing of the images for the center detection of extrusion machine. System practice application shows that the design of camera control and transmission methods meets the requirements of center detection system with the image processing theory technology.