Study on the Die-Attach Voids Distribution With X-Ray and Image Processing Techniques

2019 ◽  
Vol 141 (2) ◽  
Author(s):  
Aleksander Sesek ◽  
Olga Chambers ◽  
Janez Trontelj
Keyword(s):  
Image Processing ◽  
Power Electronic ◽  
Electronic Components ◽  
Power Transistor ◽  
X Ray ◽  
Die Attach ◽  
Void Area ◽  
Manual Interaction ◽  
Processing Techniques

Power electronic components' reliability depends, to a great extent, on the quality of die-attach technology. The voids appearance in the die-attach regions is almost unavoidable during the manufacturing process. The aim of this paper is to demonstrate that image processing tools enable fast and accurate void segmentation, while reducing manual interaction for X-ray monitoring of imperfect power transistor die soldering. The most common void parameters such as void area, void distribution, and shape roundness were extracted and used for statistical analysis.

scholarly journals Microcomputed X-Ray Tomographic Imaging and Image Processing for Microstructural Characterization of Explosives

Materials ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 4517
Author(s):  
John D. Yeager ◽  
Lindsey A. Kuettner ◽  
Amanda L. Duque ◽  
Larry G. Hill ◽  
Brian M. Patterson
Keyword(s):  
Image Processing ◽  
Automatic Segmentation ◽  
Microstructural Characterization ◽  
X Ray ◽  
Typical Material ◽  
Improve Measurement ◽  
Segmentation Quality ◽  
Processing Techniques

Microstructural characterization of composite high explosives (HEs) has become increasingly important over the last several decades in association with the development of high fidelity mesoscale modeling and an improved understanding of ignition and detonation processes. HE microstructure influences not only typical material properties (e.g., thermal, mechanical) but also reactive behavior (e.g., shock sensitivity, detonation wave shape). A detailed nondestructive 3D examination of the microstructure has generally been limited to custom-engineered samples or surrogates due to poor contrast between the composite constituents. Highly loaded (>90 wt%) HE composites such as plastic-bonded explosives (PBX) are especially difficult. Here, we present efforts to improve measurement quality by using single and dual-energy microcomputed X-ray tomography and state-of-the-art image processing techniques to study a broad set of HE materials. Some materials, such as PBX 9502, exhibit suitable contrast and resolution for an automatic segmentation of the HE from the polymer binder and the voids. Other composite HEs had varying levels of success in segmentation. Post-processing techniques that used commercially available algorithms to improve the segmentation quality of PBX 9501 as well as zero-density defects such as cracks and voids could be easily segmented for all samples. Aspects of the materials that lend themselves well to this type of measurement are discussed.

scholarly journals A Novel Image Processing Approach to Enhancement and Compression of X-ray Images

2021 ◽  
Vol 18 (13) ◽  
pp. 6724
Author(s):  
Yaghoub Pourasad ◽  
Fausto Cavallaro
Keyword(s):  
Image Processing ◽  
Performance Metrics ◽  
State Of The Art ◽  
Use Case ◽  
X Ray ◽  
Image Processing Techniques ◽  
Processing Approach ◽  
Comparison Results ◽  
Processing Techniques

At present, there is an increase in the capacity of data generated and stored in the medical area. Thus, for the efficient handling of these extensive data, the compression methods need to be re-explored by considering the algorithm’s complexity. To reduce the redundancy of the contents of the image, thus increasing the ability to store or transfer information in optimal form, an image processing approach needs to be considered. So, in this study, two compression techniques, namely lossless compression and lossy compression, were applied for image compression, which preserves the image quality. Moreover, some enhancing techniques to increase the quality of a compressed image were employed. These methods were investigated, and several comparison results are demonstrated. Finally, the performance metrics were extracted and analyzed based on state-of-the-art methods. PSNR, MSE, and SSIM are three performance metrics that were used for the sample medical images. Detailed analysis of the measurement metrics demonstrates better efficiency than the other image processing techniques. This study helps to better understand these strategies and assists researchers in selecting a more appropriate technique for a given use case.

scholarly journals Clay-Based Brick Porosity Estimation Using Image Processing Techniques

2019 ◽  
Vol 29 (1) ◽  
pp. 1226-1234
Author(s):  
Safa Jida ◽  
Hassan Ouallal ◽  
Brahim Aksasse ◽  
Mohammed Ouanan ◽  
Mohamed El Amraoui ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
Scanning Electron Microscopy ◽  
Computer Vision ◽  
Image Processing Techniques ◽  
Processing Techniques ◽  
Porosity Estimation ◽  
Microscopy Images ◽  
Scanning Electron

Abstract This work intends to apprehend and emphasize the contribution of image-processing techniques and computer vision in the treatment of clay-based material known in Meknes region. One of the various characteristics used to describe clay in a qualitative manner is porosity, as it is considered one of the properties that with “kill or cure” effectiveness. For this purpose, we use scanning electron microscopy images, as they are considered the most powerful tool for characterising the quality of the microscopic pore structure of porous materials. We present various existing methods of segmentation, as we are interested only in pore regions. The results show good matching between physical estimation and Voronoi diagram-based porosity estimation.

Image processing techniques used for dental x-ray image analysis

2008 ◽  
Author(s):  
Stefan Oprea ◽  
Costin Marinescu ◽  
Ioan Lita ◽  
Mariana Jurianu ◽  
Daniel Alexandru Visan ◽  
...  
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
X Ray ◽  
Image Processing Techniques ◽  
Processing Techniques

scholarly journals Comparison between PI, PR+HC, and modified PR+HC current controller in inverter system

2019 ◽  
Vol 13 (3) ◽  
pp. 1167
Author(s):  
S. Salimin ◽  
M. Armstrong ◽  
S.A. Jumaat ◽  
R. Hamdan
Keyword(s):  
Power Electronic ◽  
Power Network ◽  
Compensation Scheme ◽  
Electronic Components ◽  
Harmonic Compensation ◽  
Proportional Integral ◽  
Current Controller ◽  
System Power ◽  
Study Development

<span>This paper presents the comparison between proportional integral (PI) current controller, proportional resonance and harmonic compensator (PR+HC) current controller and modified PR+HC current controller in the inverter system. Power electronic components like inverter and current controller uses in the system produce unwanted harmonics that affect the quality of distribution power network. In this study, development and simulation of current controller using conventional proportional integral (PI), the selective harmonic compensation scheme (PR+HC), and modified version of the latter are considered so to overcome these harmonics injection. Modification is by adding control parameter randomisation technique to the PR+HC scheme. Results compare the three controllers and proved that with modification to the selective harmonic compensation scheme, the overall current THD can be reduced</span>

PDE-Based Image Processing

2012 ◽  
pp. 49-89
Author(s):  
Rajeev Srivastava
Keyword(s):  
Image Processing ◽  
Image Restoration ◽  
Shape From Shading ◽  
Surface Geometry ◽  
Partial Differential ◽  
Basic Concepts ◽  
Processing Techniques ◽  
Image Modelling

This chapter describes the basic concepts of partial differential equations (PDEs) based image modelling and their applications to image restoration. The general basic concepts of partial differential equation (PDE)-based image modelling and processing techniques are discussed for image restoration problems. These techniques can also be used in the design and development of efficient tools for various image processing and vision related tasks such as restoration, enhancement, segmentation, registration, inpainting, shape from shading, 3D reconstruction of objects from multiple views, and many more. As a case study, the topic in consideration is oriented towards image restoration using PDEs formalism since image restoration is considered to be an important pre-processing task for 3D surface geometry, reconstruction, and many other applications. An image may be subjected to various types of noises during its acquisition leading to degraded quality of the image, and hence, the noise must be reduced. The noise may be additive or multiplicative in nature. Here, the PDE-based models for removal of both types of noises are discussed. As examples, some PDE-based schemes have been implemented and their comparative study with other existing techniques has also been presented.

Detection and Application of Hull Weld Quality Based on MATLAB Image Processing

2014 ◽  
Vol 912-914 ◽  
pp. 1509-1512
Author(s):  
Kai Jun Chen
Keyword(s):  
Image Processing ◽  
Ultrasonic Testing ◽  
Texture Features ◽  
X Ray ◽  
Welding Defects ◽  
Testing Technology ◽  
The Cost ◽  
Detecting Method ◽  
Analysis Quality

Proposed on the basis of nondestructive testing technology, such as ultrasonic testing and X-ray detecting, image processing of hull welding based on MATLAB is a simple detecting method to detect the quality of welding. By image processing, physical dimensions, such as circumferences and shapes, as well as the intensity and texture features of welds can be concluded. Then, through numerical analysis, quality problems, including porosities, slags, undercuts, overlaps, welding defects and others, if exist, can be determined. This method decreases the cost and reduces the harm to people’s health. Experimental results showed that the detecting system can calculate and determine the major features of the welds effectively and accurately, and possesses good practical value.

Improved image processing techniques for multiple-angle x-ray bone densitometry

1995 ◽  
Author(s):  
Lawrence M. Jordan ◽  
Li Gao ◽  
Peter G. Davis ◽  
Frank A. DiBianca ◽  
Jeno I. Sebes ◽  
...  
Keyword(s):  
Image Processing ◽  
Bone Densitometry ◽  
X Ray ◽  
Image Processing Techniques ◽  
Processing Techniques

The External Thread Detection of Liquefied Gas Valve Based on Image Processing Technology

2013 ◽  
Vol 658 ◽  
pp. 551-554
Author(s):  
Xiao Dong Wang ◽  
Bo Liu ◽  
Xiao Wei Chen ◽  
Wei Zhang ◽  
Zhi Gang Guo
Keyword(s):  
Image Processing ◽  
Detection Efficiency ◽  
Ccd Camera ◽  
Contact Detection ◽  
Standard Size ◽  
External Thread ◽  
Thread Profile ◽  
Processing Techniques ◽  
Liquefied Gas

For liquefied gas valve external thread detections, the gauges traditional external thread detection. Although this method simply, easy to operate, but the detection process in contact with the thread and thus cannot guarantee the quality of the thread and the low detection efficiency. The external thread detection of liquefied gas valve based on image processing techniques adopts a non-contact detection. CCD camera collects image of the external thread and transmitted to the computer by the acquisition board. Thus image preprocessing, image segmentation and then get the thread edge contour. Finally, Matched thread profile .By comparing with the standard size tape to determine eligibility. The experimental results show that this method is feasible.

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