scholarly journals On learning deep domain-invariant features from 2D synthetic images for industrial visual inspection

2021 ◽  
Author(s):  
Abdelrahman G. Abubakr ◽  
Igor Jovancevic ◽  
Nour Islam Mokhtari ◽  
Hamdi Ben Abdallah ◽  
Jean-José Orteu
Keyword(s):  
Visual Inspection ◽  
Invariant Features ◽  
Synthetic Images

Effect of alternate feedback strategies on performance for a synthetic aircraft visual inspection task

2003 ◽  
Author(s):  
Rahul R. Desai ◽  
Anand K. Gramopadhye ◽  
Brian J. Melloy ◽  
Andrew Duchowski
Keyword(s):  
Visual Inspection ◽  
Feedback Strategies ◽  
Inspection Task

EVALUATION OF THE RAINBOW VOLUMIC VELOCIMETRY (RVV) PROCESS BY SYNTHETIC IMAGES

2007 ◽  
Vol 14 (1) ◽  
pp. 1-15 ◽  
Author(s):  
R. Malfara ◽  
Y. Bailly ◽  
J. P. Prenel ◽  
C. Cudel
Keyword(s):  
Synthetic Images

Detection of Leukemia Using Image Processing

2018 ◽  
Vol 8 (4) ◽  
pp. 61
Author(s):  
A. Sivasangari ◽  
G. Sasikumar
Keyword(s):  
Image Processing ◽  
Statistical Analysis ◽  
Early Detection ◽  
Visual Inspection ◽  
Causes Of Death ◽  
Cure Rate ◽  
Blood Disorders ◽  
Detection And Diagnosis ◽  
The Moment ◽  
Early Detection And Diagnosis

Leukemia   disease   is one   of    the   leading   causes   of death   among   human. Its  cure  rate and  prognosis   depends   mainly   on  the  early  detection   and  diagnosis  of   the  disease. At  the  moment, identification  of  blood  disorders  is  through   visual  inspection  of  microscopic  images  by  examining  changes  like  texture, geometry, colour  and   statistical  analysis  of  images . This  project  aims  to  preliminary  of  developing  a  detection  of  leukemia  types  using   microscopic  blood  sample using MATLAB. Images  are  used  as  they  are  cheap  and  do  not  expensive  for testing  and  lab  equipment.

Detection of early occlusal caries of the first permanent molar using different techniques (An in vivo study)

2019 ◽  
Vol 31 (1) ◽  
pp. 1-8
Author(s):  
Samah F. Al-Qazzaz ◽  
Abeer M. Hassan
Keyword(s):  
Sensitivity And Specificity ◽  
Visual Inspection ◽  
Caries Detection ◽  
Occlusal Caries ◽  
Clinical Sensitivity ◽  
Permanent Molar ◽  
Permanent Molars ◽  
Early Caries ◽  
First Permanent Molars ◽  
Better Than

Background: Molars and premolars are considered as the most vulnerable teeth of caries attack, which is related to the morphology of their occlusal surfaces along with the difficulty of plaque removal. different methods were used for early caries detection that provide sensitive, accurate preoperative diagnosis of caries depths to establish adequate preventive measures and avoid premature tooth treatment by restoration. The aim of the present study was to evaluate the clinical sensitivity and specificity rates of DIAGNOdent and visual inspection as opposed to the ICDAS for the detection of initial occlusal caries in noncavitated first permanent molars. Materials and Methods: This study examined 139 occlusal surface of the first permanent molar pooled from fifty patients aged 8-9 years by three methods. The selected criteria include one occlusal site per tooth (first permanent molars) with carious lesions range from 0 to 3 according to ICDASII (gold standard) visual criteria then the clinical sensitivity and specificity of visual inspection according to Ekstrand et al.in 1997 and DIAGNOdent were performed. . Results: the highest correlation was found between the ICDASII and DIAGNOdent. The sensitivity of the DIAGNOdent for the enamel caries detection (D1) was better than that of visual inspection. The sensitivity and the specificity for the DIAGNOdent at D3 threshold were better than the D1 threshold and the visual inspection method. Conclusion: DIAGNOden pen can be used as a tool for early caries detection in cases of difficult diagnosis that provide good additional sensitivity to the visual inspection.

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

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