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Contrast Correction Using Hybrid Statistical Enhancement on weld defect Images

Computers, Materials & Continua 2022年第6期71卷 5327-5342页

作者： Wan Azani Mustafa Haniza Yazid Ahmed Alkhayyat Mohd Aminudin Jamlos Hasliza ARahim Midhat Nabil Salimi Advanced Computing(AdvCOMP) Centre of ExcellenceUniversiti Malaysia Perlis(UniMAP)Pauh Putra CampusArau02600PerlisMalaysia Faculty of Electrical Engineering Technology Universiti Malaysia Perlis(UniMAP)Pauh Putra CampusArau02600PerlisMalaysia Faculty of Electronic Engineering Technology Universiti Malaysia Perlis(UniMAP)Pauh Putra CampusArau02600PerlisMalaysia Faculty of Engineering the Islamic University54001NajafIraq Faculty of Chemical Engineering Technology Universiti Malaysia Perlis(UniMAP)Arau02600PerlisMalaysia

Luminosity and contrast variation problems are among the most challenging tasks in the image processing field,significantly improving image *** is implemented by adjusting the dark or bright intensity to improve the quality of the images and increase the segmentation ***,numerous methods had been proposed to normalise the luminosity and contrast variation.A new approach based on a direct technique using statistical data known as Hybrid Statistical Enhancement(HSE)is presented in this *** method uses themean and standard deviation of a local and global neighbourhood and classified the pixel into three groups;the foreground,border,and problematic region(contrast&luminosity).The datasets,namely weld defect images,were utilised to demonstrate the effectiveness of the HSE *** results from the visual and objective aspects showed that the HSE method could normalise the luminosity and enhance the contrast variation problem *** proposed method was compared to the two(2)populor enhancement methods which is Homomorphic Filter(HF)and Difference of Gaussian(DoG).To prove the HSE effectiveness,a few image quality assessments were presented,and the results were *** HSE method achieved a better result compared to the other methods,which are Signal Noise Ratio(8.920),Standard Deviation(18.588)and Absolute Mean Brightness Error(9.356).In conclusion,implementing the HSE method has produced an effective and efficient result for background correction and quality images improvement.

关键词： Contrast enhancement image statistic weld defect

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A fast and adaptive method for automatic weld defect detection in various real-time X-ray imaging systems

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China welding 2012年第1期21卷 8-12页

作者：邵家鑫都东石涵常保华郭桂林 Key Laboratory tier Advanced Materials Processing Technology MinislzT of Education Department of Mechanical Engineering Tsingbua University BeJjing 100084.mMI. ~lIm~(o)l~{n~hll〉l p(lll ~.rt

A first and effective method is proposed to detect weld deject adaptively in various Dypes of real-time X-ray images obtained in different conditions. After weld extraction and noise reduction, a proper template of median filter is used to estimate the weld background. After the weld background is subtracted from the original image, an adaptite threshold segmentation algorithm is proposed to obtain the binary image, and then the morphological close and open operation, labeling algorithm and fids＇e alarm eliminating algorithm are applied to pracess the binary image to obtain the defect, ct detection result. At last, a fast realization procedure jbr proposed method is developed. The proposed method is tested in real-time X-ray image,s obtairted in different X-ray imaging sutems. Experiment results show that the proposed method is effective to detect low contrast weld dejects with few .false alarms and is adaptive to various types of real-time X-ray imaging systems.

关键词： non-destructive testing real-time X-ray imaging weld defect automatie detection

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Application of Support Vector Machine in weld defect Detection and Recognition of X-ray Images

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Computer Aided Drafting,Design and Manufacturing 2014年第3期24卷 22-26页

作者： WANG Yong GUO Hui School of Mechanical and Power Engineering East China University of Science and Technology

Support vector machines（SVM） received wide attention for its excellent ability to learn, it has been applied in many fields. A review of the application of SVM in weld defect detection and recognition of X-ray image is been presented. We will show some commonly used methods of weld defect detection and recognition using SVM, and the advantages and disadvantages of each method will be discussed. SVM appears to be promising in weld defect detection and recognition, but future research is needed before it fully mature in this filed.

关键词： support vector machine weld defect detection recognition

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weldability of steel used in an aged bridge

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China welding 2024年第3期33卷 33-38页

作者： Hirohata Mikihito Department of Civil Engineering Graduate School of EngineeringOsaka UniversitySuita 565-0871Japan

A series of experiments was performed to investigate the weldability of steel used in an aged bridge.A steel material used in an aged railway bridge constructed in 1912 was extracted for this *** chemical compositions of this steel were suitable for ***,the aged steel contained much *** welded joints were fabricated with this aged *** defects or cracks were not observed in the *** Vickers hardness test on the welded part did not confirm extreme hardening or *** yielding by the static tensile test,the cruciform joints were fractured at the welded *** of the specimens was fractured in the middle of the thickness of the aged *** Sulfur contained in the aged steel might cause this type of *** results show that there may be a risk of brittle fracture not only from the welded part but also from the base *** chemical compositions of aged steel must be analyzed when repair welding is applied to the steel.

关键词： aged steel bridge repair welding chemical compositions weld defect brittle fracture

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Failure analysis of crevice corrosion on 304 stainless steel tube heat exchanger

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Journal of Iron and Steel Research International 2023年第8期30卷 1490-1498页

作者： Chen Dong Shen Qu Chang-ming Fu Zhe-feng Zhang Failure Analysis Center for Materials Institute of Metal ResearchChinese Academy of SciencesShenyang 110016LiaoningChina

The cause of the premature failure of 304 stainless steel tube heat exchanger was *** unique skeleton structure inside the leakage point reveals that this is a new damage mechanism caused by a δ+γ two-phase structure and crevice *** three-dimensional structure of the leakage point was demonstrated using X-ray diffraction *** results of scanning electron microscope examination show the microstructure of the weld to be columnar and *** is found by electron probe microscope analysis and transmission electron microscopy that columnar dendrites consisted of γ-dendrite and an amount of δ-ferrite phases at the dendrite *** corrosion test results confirmed that the corrosion medium was the chloride *** corrosion of chloride ions occurred at weld defects on the inner wall thus forming a concentration *** of columnar dendrites were then corroded by chloride ions and δ-ferrite phases on the grain boundaries were retained,which formed the particular skeleton corrosion *** a result,it led to leakage when the corrosion of weld occurred from the inner wall to the outer wall.

关键词： Crevice corrosion weld defect Chloride ions δ-ferrite Skeleton structure 304 stainless steel

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Automatic defect Detection in X-Ray Images Using Image Data Fusion

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Tsinghua Science and Technology 2006年第6期11卷 720-724页

作者：田原都东蔡国瑞王力张骅 Key Laboratory for Advanced Materials Processing Technology of Ministry of Education Department of Mechanical EngineeringTsinghua University

Automatic defect detection in X-ray images is currently a focus of much research at home and abroad. The technology requires computerized image processing, image analysis, and pattern recognition. This paper describes an image processing method for automatic defect detection using image data fusion which synthesizes several methods including edge extraction, wave profile analyses, segmentation with dynamic threshold, and weld district extraction. Test results show that defects that induce an abrupt change over a predefined extent of the image intensity can be segmented regardless of the number, location, shape or size. Thus, the method is more robust and practical than the current methods using only one method.

关键词： X-ray detection weld defect image data fusion nondestructive testing

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