DocumentCode
3582497
Title
Combination filters for COPE database
Author
Mansor, Muhammad Naufal ; Junoh, Ahmad Kadri ; Ahmed, Amran ; Osman, Muhammad Khusairi
Author_Institution
Sch. of Mechatron. Eng., Univ. Malaysia Perlis, Arau, Malaysia
fYear
2014
Firstpage
556
Lastpage
558
Abstract
In this paper, new combination of filters was proposed for infant based on Classification of Pain Expressions (COPE) database. Different performance parameters such as Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE), Image Enhancement Factor (IEF) and Mean Structural SIMilarity (MSSIM) Index ere employed. The results show improved performance of the proposed algorithm in terms of these measures of 42.33 db for PSNR, 3.9 for MSE, 187.54 for IEF and 0.846 for MSSIM respectively.
Keywords
emotion recognition; image classification; image enhancement; image filtering; visual databases; COPE database; IEF; MSE; MSSIM; PSNR; classification of pain expression database; image enhancement factor; mean square error; mean structural similarity index; peak signal-to-noise ratio; Databases; Filtering algorithms; Mean square error methods; Noise level; PSNR; Pain; COPE; Filters; Noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Control System, Computing and Engineering (ICCSCE), 2014 IEEE International Conference on
Print_ISBN
978-1-4799-5685-2
Type
conf
DOI
10.1109/ICCSCE.2014.7072780
Filename
7072780
Link To Document