Optimal MAP Parameters Estimation in STAPLE - Learning from Performance Parameters versus Image Similarity Information

2014 ◽  
pp. 174-181 ◽  
Author(s):  
Subrahmanyam Gorthi ◽  
Alireza Akhondi-Asl ◽  
Jean-Philippe Thiran ◽  
Simon K. Warfield
Keyword(s):  
Parameters Estimation ◽  
Image Similarity ◽  
Performance Parameters ◽  
Similarity Information

Performance Parameters Estimation of Pockels High-Voltage Sensors by Means of Numerical Optimization

2020 ◽  
Vol 69 (4) ◽  
pp. 1540-1546
Author(s):  
Victor H. Aristizabal-Tique ◽  
Nicolas A. Gomez-Montoya ◽  
Hernan de J. Salazar-Escobar ◽  
Francisco J. Velez-Hoyos ◽  
Camilo A. Florez-Velasquez
Keyword(s):  
High Voltage ◽  
Numerical Optimization ◽  
Parameters Estimation ◽  
Performance Parameters ◽  
Voltage Sensors

scholarly journals Optimal MAP Parameters Estimation in STAPLE Using Local Intensity Similarity Information

2015 ◽  
Vol 19 (5) ◽  
pp. 1589-1597 ◽  
Author(s):  
Subrahmanyam Gorthi ◽  
Alireza Akhondi-Asl ◽  
Simon K. Warfield
Keyword(s):  
Parameters Estimation ◽  
Local Intensity ◽  
Similarity Information

Statistical Analysis on Accelerated Degradation Test Data Based on Multiple Performance Parameters

2012 ◽  
Vol 430-432 ◽  
pp. 1417-1423
Author(s):  
Jun Pan ◽  
Xiao Yun Wang ◽  
Wen Hua Chen ◽  
Shi Wei Xu ◽  
Ping Qian ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Simulation Method ◽  
Parameters Estimation ◽  
Path Model ◽  
Distribution Model ◽  
Performance Parameters ◽  
Accelerated Degradation ◽  
Degradation Data

In view of the multiple performance parameters accelerated degradation and need to consider its dependence, we should know how to statistical analysis on the data of testing, establish multiple performance parameters degradation path model and its distribution model and the accelerated model of degradation rate. The multiple performance parameters degradation data’s statistics has two different situations which are independent and dependent. So, A method is proposed which is multiple performance parameters of reliability comprehensive evaluation method based on least squares parameters estimation. This method can achieve rapid and effective assessment of their reliability by using an efficient Monte-Carlo simulation method to get the performance parameters degradation data.

scholarly journals Defect Inspection in Display Panel Using Concentrated Auto Encoder

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
DongHun Ku
Keyword(s):  
Critical Dimension ◽  
Image Similarity ◽  
Inspection Time ◽  
Performance Parameters ◽  
Defect Inspection ◽  
Alignment Position ◽  
Similarity Comparison ◽  
Comparison Methods ◽  
Inspection Performance

In this paper, concentrated auto encoder (CAE) is proposed for aligning photo spacer (PS) and for local inspection of PS. The CAE method has two characteristics. First, unaligned images can be moved to the same alignment position, which makes it possible to move the measured PS images to the same position in order to directly compare the images. Second, the characteristics of the abnormal PS are maintained even if the PS is aligned by the CAE method. The abnormal PS obtained through CAE has the same alignment as the reference PS and has its abnormal characteristics. The presence or absence of defects and the location of defects were identified without precisely measuring the height of the PS and critical dimension (CD). Also, alignment and defect inspection were performed simultaneously, which shortened the inspection time. Finally, inspection performance parameters and inspection time were analyzed to confirm the validity of the CAE method and were compared with the image similarity comparison methods used for defect inspection.

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