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
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;
Conference_Titel :
Control System, Computing and Engineering (ICCSCE), 2014 IEEE International Conference on
Print_ISBN :
978-1-4799-5685-2
DOI :
10.1109/ICCSCE.2014.7072780
