scholarly journals Analysis of the development of cluster cracks in the cement paste modified by microsilica

2015 ◽  
Vol 14 (4) ◽  
pp. 117-127 ◽  
Author(s):  
Maciej Szeląg ◽  
Stanisław Fic
Keyword(s):  
Image Analysis ◽  
Cement Paste ◽  
Digital Processing ◽  
Analysis Techniques ◽  
Cluster Area ◽  
Temperature Load ◽  
Computer Based ◽  
External Loads ◽  
Average Cluster ◽  
Image Analysis Techniques

Article describes the course of research on the possibility of the application of the computer-based image analysis techniques to evaluate the structure of cluster cracks on the surface of modified cement paste. Four sets of specimens were performed, based on two Portland cements (CEM I 42,5R and CEM I 52,5R). In addition, the two series include microsilica as a substitute for 10% of cement. Cracks of samples were obtained by the sudden temperature load at the value of 250°C. Image of the cracked surface was obtained by scanning at a resolution of 2400DPI, and to digital processing and measurements ImageJ v. 1.46r software was used. To describe the structure of the cracks two stereological parameters were proposed: average cluster area (A) and average cluster perimeter (L). The aim of the work is to reference obtained results from the image analysis to the compressive and tensile strength of tested specimens. In addition, considering the structure of cement paste as a dispersion system the process of the cluster structures formation was described, which under external loads transform and affect the final properties of the composite material.

A Review on Automatic Bill of Material Generation and Visual Inspection on PCBs

2019 ◽  
Author(s):  
Mukhil Azhagan M. S ◽  
Dhwani Mehta ◽  
Hangwei Lu ◽  
Sudarshan Agrawal ◽  
Mark Tehranipoor ◽  
...  
Keyword(s):  
Image Analysis ◽  
Visual Inspection ◽  
Automated System ◽  
Imaging Modalities ◽  
Future Research ◽  
Analysis Techniques ◽  
Bill Of Materials ◽  
Pros And Cons ◽  
Index Terms ◽  
Image Analysis Techniques

Abstract Globalization and complexity of the PCB supply chain has made hardware assurance a challenging task. An automated system to extract the Bill of Materials (BoM) can save time and resources during the authentication process, however, there are numerous imaging modalities and image analysis techniques that can be used to create such a system. In this paper we review different imaging modalities and their pros and cons for automatic PCB inspection. In addition, image analysis techniques commonly used for such images are reviewed in a systematic way to provide a direction for future research in this area. Index Terms—Component Detection, PCB, Authentication, Image Analysis, Machine Learning

scholarly journals Quality Evaluation of Potato Tubers Using Neural Image Analysis Method

Agriculture ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 112 ◽  
Author(s):  
Andrzej Przybylak ◽  
Radosław Kozłowski ◽  
Ewa Osuch ◽  
Andrzej Osuch ◽  
Piotr Rybacki ◽  
...  
Keyword(s):  
Image Analysis ◽  
Neural Model ◽  
Assessment Method ◽  
Analysis Method ◽  
Potato Tubers ◽  
Specialized Knowledge ◽  
Analysis Techniques ◽  
Quality Assessment Method ◽  
Sorting Process ◽  
Image Analysis Techniques

This paper describes the research aimed at developing an effective quality assessment method for potato tubers using neural image analysis techniques. Nowadays, the methods used to identify damage and diseases are time-consuming, require specialized knowledge, and often rely on subjective judgment. This study showed the use of the developed neural model as a tool supporting the evaluation of potato tubers during the sorting process in the storage room.

scholarly journals Using PhotoCube as an extensible demonstration platform for advanced image analysis techniques

2012 ◽  
Author(s):  
Grimur Tomasson ◽  
Gisli Kristjan Olafsson ◽  
Hlynur Sigurporsson ◽  
Bjorn Por Jonsson ◽  
Kristjan Runarsson ◽  
...  
Keyword(s):  
Image Analysis ◽  
Analysis Techniques ◽  
Image Analysis Techniques

Considerations for Whole-Slide Analysis of Murine Xenografts Experiments

2021 ◽  
Vol 69 (10) ◽  
pp. 627-631
Author(s):  
Abigail R. Bland ◽  
John C. Ashton
Keyword(s):  
Cell Death ◽  
Image Analysis ◽  
Cell Counting ◽  
Analysis Techniques ◽  
The Core ◽  
Necrotic Region ◽  
Areas Of Interest ◽  
Image Analysis Techniques ◽  
Immunohistochemical Analyses ◽  
Animal Models Of Cancer

Histochemistry of tumor sections is a widely employed technique utilized to examine cell death in preclinical xenograft animal models of cancer. However, this is under the assumption that tumors are homogeneous, leading to practices such as automatic cell counting across the entire section. We have noted that in our experiments the core of the tumor is largely or partially necrotic, and lacks evidence of vascularization (in contrast to the outer areas of the tumor). We note that this can bias and confound immunohistochemical analyses that do not take care to sample areas of interest in a way to take this into account. Design-based stereology with image analysis techniques is an alternative process that could be used to measure the volume of the necrotic region compared to the volume of the whole tumor.

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