Research on Infrared Image Fusion Technology Based on Road Crack Detection

This study aimed to propose road crack detection method based on infrared image fusion technology.By analyzing the characteristics of road crack images,this method uses a variety of infrared image fusion methods to process different types of images.The use of this method allows the detection of road cracks,which not only reduces the professional requirements for inspectors,but also improves the accuracy of road crack detection.Based on infrared image processing technology,on the basis of in-depth analysis of infrared image features,a road crack detection method is proposed,which can accurately identify the road crack location,direction,length,and other characteristic information.Experiments showed that this method has a good effect,and can meet the requirement of road crack detection.

Call for Papers Journal of Electronic Science and Technology Special Section on Mid-Infrared Lasers

Guest Editor Prof.Jianfeng Li Univ.of Electronic Science and Technology of China lijianfeng@uestc.edu.cn The mid-infrared spectral domain is critically important and has considerable significance to fundamental science and technological applications.

Research on the relationship between reduced scattering coefficient and intracranial pressure in brain edema model

Intracranial hypertension is a serious threat to the health of neurosurgical patients.At present,there is a lack of a safe and e®ective technology to monitor intracranial pressure(ICP)accurately and nondestructively.In this paper,based on near infrared technology,the continuous nonde-structive monitoring of ICP change caused by brain edema was studied.The rat brain edema models were constructed by lipopolysaccharide.The ICP monitor and the self-made near infrared tissue parameter measuring instrument were used to monitor the invasive intracranial pressure and the reduced scattering coe±cient of brain tissue during the brain edema development.The results showed that there was a negative correlation between the reduced scattering coe±cient(690nm and 834nm)and ICP,and then the mathematical model was established.The experimental results promoted the development of nondestructive ICP monitoring based on near infrared technology.

Experimental study of surface crystallization on integrated circuit chips

A surface crystallization phenomenon on bonding pads and wires of integrated circuit chip is reported in this paper. Through a lot of experiments, an unknown failure effect caused by mixed crystalline matter is revealed, whereas non-plasma fluorine contamination cannot cause the failure of bonding pads. By experiments combined with infrared spectroscopy analysis, the surface crystallization effect is studied. The conclusion of the study can provide the guidance for IC fabrication, modelling and analysis.

Simultaneous characterization of multiple properties of solid and liquid phases in crystallization processes using NIR

Near infrared spectroscopy （NIR） is now probably the most popular process analytical technology （PAT） for pharmaceutical and some other industries. However, unlike mid-IR, NIR is known to have difficulties in monitoring crystallization or precipitation processes because the existence of solids could cause distortion of the spectra. This phenomenon, seen as unfavorable previously, is however an indication that NIR spectra contain rich information about both solids and liquids, giving the possibility of using the same instrument for multiple property characterization. In this study, transflectance NIR calibration data was obtained using solutions and slurries of varied solution concentration, particle size, solid concentration and temperature. The data was used to build calibration models for prediction of the multiple properties of both phases. Predictive models were developed for this challenging application using an approach that combines genetic algorithm （GA） and support vector machine （SVM）. GA is used for wavelength selection and SVM for mode building. The new GA-SVM approach is shown to outperform other methods including GA-PLS （partial least squares） and traditional SVM. NIR is thus successfully applied to monitoring seeded and unseeded cooling crystallization processes of L-glutamic acid.