Wavelet-Aided Multivariate Outlier Analysis to Enhance Defect Contrast in Thermal Images

2011 ◽  
Vol 38 (1) ◽  
pp. 28-37 ◽  
Author(s):  
A. Manohar ◽  
F. Lanza di Scalea
Keyword(s):  
Outlier Analysis ◽  
Thermal Images ◽  
Multivariate Outlier Analysis

DIGOUT: VIEWING DIFFERENTIAL EXPRESSION GENES AS OUTLIERS

2010 ◽  
Vol 08 (supp01) ◽  
pp. 161-175 ◽  
Author(s):  
HUI YU ◽  
KANG TU ◽  
LU XIE ◽  
YUAN-YUAN LI
Keyword(s):  
Gene Expression Dataset ◽  
Outlier Analysis ◽  
Conditional Gene Expression ◽  
Conditional Expression ◽  
Differential Expression Genes ◽  
Improved Stability ◽  
Multivariate Outlier Analysis ◽  
Microarray Datasets ◽  
Selection Of ◽  
Better Than

With regards to well-replicated two-conditional microarray datasets, the selection of differentially expressed (DE) genes is a well-studied computational topic, but for multi-conditional microarray datasets with limited or no replication, the same task is not properly addressed by previous studies. This paper adopts multivariate outlier analysis to analyze replication-lacking multi-conditional microarray datasets, finding that it performs significantly better than the widely used limit fold change (LFC) model in a simulated comparative experiment. Compared with the LFC model, the multivariate outlier analysis also demonstrates improved stability against sample variations in a series of manipulated real expression datasets. The reanalysis of a real non-replicated multi-conditional expression dataset series leads to satisfactory results. In conclusion, a multivariate outlier analysis algorithm, like DigOut, is particularly useful for selecting DE genes from non-replicated multi-conditional gene expression dataset.

Automatic Bruise Detection in Fruits Using Thermal Images

2017 ◽  
Vol 7 (5) ◽  
pp. 727-732 ◽  
Author(s):  
Manisha Satone ◽  
◽  
Samruddhi Diwakar ◽  
Vaishnavi Joshi ◽  
◽  
...  
Keyword(s):  
Thermal Images

ALGORITHMS OF TWO-STAGE RECOVERY OF RADIO THERMAL IMAGES

2017 ◽  
Vol 59 (1) ◽  
pp. 3-9
Author(s):  
V. K. Klochko ◽  
◽  
S. M. Gudkov ◽  
Keyword(s):  
Two Stage ◽  
Thermal Images

Evaluation of the heat changes in an ancient church because of restoration works: A microclimatic study supported by thermal images

2021 ◽  
pp. 1420326X2199462
Author(s):  
Stefano Ridolfi ◽  
Susanna Crescenzi ◽  
Fabiana Zeli ◽  
Stefano Perilli ◽  
Stefano Sfarra
Keyword(s):  
Methodological Approach ◽  
Thermal Capacity ◽  
Outdoor Environment ◽  
Heat Index ◽  
Heat Sources ◽  
Thermal Images ◽  
Roof Structure ◽  
Period 2 ◽  
Microclimate Monitoring ◽  
The Church

This work is centred on an ancient Italian church. Since 2011, a restoration plan has been undertaken by following sequential phases. The methodological approach to restoration was guided by environmental monitoring campaigns. In particular, two thermo-hygrometric campaigns were carried out during the warm months of the years 2015 and 2016. The first set of measurements was executed during the restoration of facades and roofs, making it possible to reach even areas that are usually difficult to access. The second set was performed to evaluate the indoor thermo-hygrometric conditions following the work of the previous year. This was intended to assess their differences in variability, the influence of the outdoor environment and any real and perceived improvement. Results demonstrate that thermal images helped in identifying both the heat sources causing thermal discomforts and the good thermal capacity of masonries. Concerning the heat index (HI), the church showed an improvement in the trend of malaise perceived by people during the second summer period (∼2°C lower than 2015). Finally, in the last microclimate monitoring, the roof structure no longer acted as an amplifier for daily temperature excursions.

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