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The Application Research Of Image Processing On The X-ray Non-destructive Testing

Posted on:2011-09-15Degree:MasterType:Thesis
Country:ChinaCandidate:X Z RenFull Text:PDF
GTID:2132360302490115Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Computer image processing as a computer technology in industrial production, people's lives in an important technology and processing methods widely applied to different levels of society and the position, it has the careful, scientific, rigor brought a qualitative change in some industries It's applications are slowly enjoys popular support. Information-based approach is also becoming the economic development, industrial development in a forward direction and targets.The computer image processing technology applied to industrial X-ray non-destructive testing, is the recent years, a topic often discussed. In this paper, in order to weld the defect, for example, details the entire computer image processing system of the structure and working principle. Pre-joined at the processing stage in order to enhance the histogram, median filtering, image binarization processing and edge contour tracking as the main content of the image pre-processing. Pretreatment resulted in the adoption in accordance with national standards of physical quantities measured simple recognition. Then the image processing applications in denoising, enhancement and other aspects of the algorithm is conducted in-depth research and analysis. And enhanced, respectively wavelet denoising, image restoration denoising techniques, retained negative correction repair defects in automatic identification technology, an algorithm has been optimized and partially achieved. Some experimental results obtained through experiments and data. In the tutor's help, the experimental results were analyzed, in time they adjust and improve the algorithm, a bit of effective optimization of thinking, combined with the actual situation has improved in some ways.
Keywords/Search Tags:unsharp mask france, constrained least squares, filtering distorted negative image restoration, crack automatic identification
PDF Full Text Request
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