In this paper we study the possibility of using the thermographic technique in determining the respiratory rate in newborns and monitoring in case of apnea. It has been chosen to use the thermography technique in monitoring the new-born\'s respiratory rate because it is a non-invasive technique. In this case, monitoring is based on the determination of changes in skin temperature caused by breathing (inspire / expire). A train of thermal images recorded in 50 newborns was used as an input, in the chronological order of their recording. The images are taken sequentially, one by one, for 6 minutes for each subject, so we can extract inspire / expire. The two parameters used for the assay are the nasal nose (right and left) and the nose peak area correlated with the heat dissipation regions. This method of non-contact monitoring is absolutely necessary because it is designed to monitor the most fragile category of premature babies.
In this paper, a detector based Intensity Hue Saturation (IHS) image fusion method is proposed to improve spectral adjustment considering to the sensitivities of individual MS and PAN detectors in the multi-line linear Charge Coupled Device (CCD) arrays beside the effects of atmosphere, illumination and spectral mismatches between sensors. Proposed approach is based on detectors of satellite sensors that consist of two parts. First, adaptive weighting coefficients of the multi spectral (MS) bands are computed to simulate Intensity component using multiple linear regression (MLR). Second, histogram matching is implemented between panchromatic image (PAN) and Intensity (I) component of MS image in order to reduce spectral distortions due to spectral response differences between I and PAN images. Experiments carried out on IKONOS satellite images show that the proposed method produces more reasonable results than other IHS based methods including standard IHS, generalized IHS (GIHS), Fast IHS (FIHS) and adaptive generalized IHS (GIHSA).
In this work, modelling of eddy-current pattern in metallic parts which suffer from the presence of flaws was considered. This was undertaken by means of finite element method under harmonic inductive excitation and stationary conditions. The proposed model included the excitation coil, the sensing coil, the tested defected plate and the ambient air. A parametric study was conducted then in order to determine the relative influence of the distance separating the coil sensor from the inspected plate, the voltage variation points on the receiver coil and the work frequency.