Title :
New motherwavelet for pattern detection in IR image
Author :
Mirzaei, M. Ali ; Prianto, Sugeng ; Chardonnet, Jean-Remy ; Pere, Christian ; Merienne, Frederic
Author_Institution :
Arts et Metiers ParisTech, Paris, France
Abstract :
The paper presents a new mother wavelet adapted from a specific pattern. Wavelet multi-resolution analysis uses this wavelet to detect the position of the pattern in an Infra-Red (IR) signal under scale variation and the presence of noise. IR signal is extracted from IR image sequence recorded by an IR camera, Time of Flight (TOF) sensor configuration. The maximum correlation between the pattern and the signal of interest will be used as a criterion to define the mother wavelet. The proposed mother wavelet were tested and verified under the scale variation and the presence of noise. The experimental tests and performance analysis show promising results for both scale variation and noisy signal. 90% accuracy for the proposed wavelet under intensive noisy condition (50% of the signal amplitude) is guaranteed and high precision is expected under real condition.
Keywords :
image resolution; image sequences; infrared imaging; signal processing; wavelet transforms; IR image sequence; IR signal; TOF sensor; infrared signal; intensive noisy condition; mother wavelet; noisy signal; pattern detection; scale variation; signal amplitude; time of flight sensor; wavelet multiresolution analysis; Least squares approximations; Legged locomotion; Multiresolution analysis; Noise; Signal resolution; Wavelet transforms; IR image; adapted mother wavelet; multi-resolution analysis; pattern detection;
Conference_Titel :
Visual Communications and Image Processing (VCIP), 2013
Conference_Location :
Kuching
Print_ISBN :
978-1-4799-0288-0
DOI :
10.1109/VCIP.2013.6706327