TY - GEN
T1 - Visual Angular Haze Detection Using SSIM
AU - Delgado, Cesar
AU - Castro, Oscar M.
AU - Giuffra, Alessandro
AU - Murray, Victor
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - In this work, we present an approach to calculate the haze of a Polymer Dispersed Liquid Crystal (PDLC) with respect to the viewing angle of the object using the Structural Similarity Index Measure (SSIM) method. The method shown in this project is developed based on a limited but authentic image dataset provided by an international glass company. This method calculates the measure of haze, dividing the input image into the same size regions and extracts the ones where the image does not have haze, to use those as a reference against the frames with haze. Then, based on the SSIM components, the system produces a haze grid and calculates two features, the scope of linear regression and the mean of the grid. These features are used to obtain a value that represents the amount of haze in the glass. The final model is approximated using a quadratic regression with MSE = 5.388.
AB - In this work, we present an approach to calculate the haze of a Polymer Dispersed Liquid Crystal (PDLC) with respect to the viewing angle of the object using the Structural Similarity Index Measure (SSIM) method. The method shown in this project is developed based on a limited but authentic image dataset provided by an international glass company. This method calculates the measure of haze, dividing the input image into the same size regions and extracts the ones where the image does not have haze, to use those as a reference against the frames with haze. Then, based on the SSIM components, the system produces a haze grid and calculates two features, the scope of linear regression and the mean of the grid. These features are used to obtain a value that represents the amount of haze in the glass. The final model is approximated using a quadratic regression with MSE = 5.388.
KW - Haze detection
KW - PDLC
KW - SSIM
UR - http://www.scopus.com/inward/record.url?scp=85135077015&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-08545-1_56
DO - 10.1007/978-3-031-08545-1_56
M3 - Conference contribution
AN - SCOPUS:85135077015
SN - 9783031085444
T3 - Smart Innovation, Systems and Technologies
SP - 569
EP - 576
BT - Proceedings of the 7th Brazilian Technology Symposium, BTSym 2021 - Emerging Trends in Systems Engineering Mathematics and Physical Sciences
A2 - Iano, Yuzo
A2 - Saotome, Osamu
A2 - Kemper Vásquez, Guillermo Leopoldo
A2 - Cotrim Pezzuto, Claudia
A2 - Arthur, Rangel
A2 - Gomes de Oliveira, Gabriel
PB - Springer Science and Business Media Deutschland GmbH
T2 - 7th Brazilian Technology Symposium, BTSym 2021
Y2 - 8 November 2021 through 10 November 2021
ER -