Image Thresholding for Weld Defect Extraction in Industrial Radiographic Testing
نویسندگان
چکیده
In non destructive testing by radiography, a perfect knowledge of the weld defect shape is an essential step to appreciate the quality of the weld and make decision on its acceptability or rejection. Because of the complex nature of the considered images, and in order that the detected defect region represents the most accurately possible the real defect, the choice of thresholding methods must be done judiciously. In this paper, performance criteria are used to conduct a comparative study of thresholding methods based on gray level histogram, 2-D histogram and locally adaptive approach for weld defect extraction in radiographic images. Keywords—1D and 2D histogram, locally adaptive approach, performance criteria, radiographic image, thresholding, weld defect.
منابع مشابه
Automatic classification of weld defects using simulated data and an MLP neural network
The radiography technique (RT) used in non-destructive testing (NDT) of welds has evolved rapidly in recent decades and has become an established technology in the field of weld assessment. RT is widely used as an inspection tool for detecting flaws inside welded structures, pressure vessels, structural members and pipelines(1). Most radiographic exposures and film interpretations in RT are sti...
متن کاملPDE-Based Model for Weld Defect Detection on Digital Radiographic Image
Partial differential equation (PDE)–based image processing has played a substantial role and become more popular in the recent years. In the application of weld defect detection, the PDE models can be applied for image smoothing and segmentation. In this study, anisotropic diffusion proposed by Perona Malik known as Perona Malik Anisotropic Diffusion (PMAD) model is used as a denoising process ...
متن کاملWeld Defect Detection in Radiography Based on Projection Profile and Rst Invariant by Using Lvq
X-ray radiography is commonly used in (NDT) Non-destructive Testing, for identifying defects in weld. When the X-ray is passed through the weld object, the area where the defects are occurred will be having different intensity profile, than the nearby pixels. Most of the X-ray radiographic images will be having some forms of noise components embedded in it. Median filter is applied for noise re...
متن کاملInvariant Shape Features and Relevance Feedback for Weld Defect Image Retrieval
Relevance feedback mechanism is used in Content-based Image Retrieval (CBIR) to attempt to minimize the amount of interaction between the user and the system required to improve the retrieval system performance. In this work, such system is proposed for weld radiograms in radiographic testing, with the aim of searching from the overall image database, interactively with the radiograph expert, d...
متن کاملIntelligent segmentation of industrial radiographic images using neural networks
An application of machine vision, incorporating neural networks, which aims to fully automate real-time radiographic inspection in welding processes is described. The current methodology adopted comprises two distinct stages the segmentation of the weld from the background content of the radiographic image, and the segmentation of suspect defect areas inside the weld region itself. In the first...
متن کامل