Reseash On Digital Image Processing Of Tube Collar Identifying For Workover

Oilfield workover assignment is a new Wells into production, old well left recovery capacity, implement stimulation measures, ensure the normal production of oil approach. To continuously develop oil field workover operations to be implemented, However, due to high labor intensity, Poor environment in which the site, Only by improving the degree of automation in the process of workover, Efficiency to make workover, Reduce the labor intensity, Away from the poor working conditions of workers. Therefore, The location of the tubing coupling the automatic detection of a workover important step in the process.Digital image processing and recognition technology is involved in the machine vision,Neurobiology,Psychophysics,Mathematics and other disciplines and interdisciplinary fields. With the continuous development of this technology, Two-dimensional image processing technology has been developed to handle three-dimensional interpretation. In recent years, With computers and other rapidly developing areas of the relevant, Digital image processing technology has become a specialized field of scientific research and human-machine interface of a widely used tool, Aerospace and aviation technology widely used, Biomedical Engineering, Industrial and Engineering, Military Police etc.In this pape, digital image processing technology, By analyzing the existing methods of image processing and moving target identification algorithm, Tubing coupling of image processing and algorithm analysis, And the development of automatic image recognition software coupling, Achieved some recognition effect. This work includes the following two aspects: The first, The image preprocessing algorithm has been studied, Including image enhancement, Image Filtering, Edge Detection, Image segmentation Etc. Application of different algorithms for image processing pipe coupling, Comparison of the treatment effect of various algorithms, Select a condition for the best field workover collar image processing algorithms.The second, According to the process of tubing on the specific environment provided, Studied and analyzed for tubing on the image recognition algorithm mentioned, Based on the platform in vc6.0 automatic image recognition software developed, According to background information to optimize the detection process. Experiments show that the simple background image recognition software docking collar has a good effect.