To meet the requirement of high precision 3D measurement for MEMS devices, a new high precision touch trigger probe for micro-Nano/CMM is developed. Only one Quadrant Photo Diode (QPD) based two-dimensional angle sensor was used in this probe, which can detect the ball tip’s 3D motions of the probe precisely at the same time. The probe was introduced and analyzed. The sensitivity and stiffness models of the probe were achieved, and the optimal structural parameters of the probe were obtained. Several experiments have been conducted to test the stiffness, measurement range, sensitivity and repeatability of the probe. The experimental results demonstrate that the probe has 1 mN/μm uniform stiffness in 3D, the permitted measurement range is more than 12 μm and the sensitivity is about 0.5 mV/nm in 3D. The drift is about 20 nm in 1.3 hours when the environment temperature is controlled to (20±0.025)℃, and the repeatability is less than 40 nm (K=2). The probe has the advantages of high precision, low stiffness, small size, low cost and good assembly which can be applied to Micro/Nano CMM.

The effects of the radius of the circle, the length and width of the rectangular and the width of the nano-slit on extraordinary optic transmission of metallic circle -rectangular compound hole array with nano-slit coupling are investigated using the finite-difference time-domain method. The results show that, compared to circle hole array and circle-rectangular compound hole array, the transmittance of the optical transmission for the structure is significantly increased, which suggests that coupling effect of surface pasmon polartion and localized surface plasmon by nano-slit is the key role. The main factor that affects the optic transmission is the width of the nano-slit, and the transmittance is 89% and the full width at half maximum is 129 nm when the width of the nano-slit is 55 nm; the parameters such as the radiusm The effects of the radius of the circle, the length and width of the rectangular and the width of the nano-slit on extraordinary optic transmission of metallic circle -rectangular compound hole array with nano-slit coupling are investigated using the finite-difference time-domain method. The results show that, compared to circle hole array and circle-rectangular compound hole array, the transmittance of the optical transmission for the structure is significantly increased, which suggests that coupling effect of surface pasmon polartion and localized surface plasmon by nano-slit is the key role. The main factor that affects the optic transmission is the width of the nano-slit, and the transmittance is 89% and the full width at half maximum is 129 nm when the width of the nano-slit is 55 nm; the parameters such as the radius

A multiple wavelength demodulation method of long period fiber grating and fiber Bragg grating is proposed. Fiber Bragg grating can reflect the long period fiber grating transmission light. The central wavelength shift of fiberBragg grating will cause the change of reflected light power, and the photoelectric conversion voltage can also change accordingly. So the voltage can demodulate the central wavelength. Because the transmission spectrum of long period fiber grating is very wide, the bandwidth of fiber Bragg grating is so narrow, and a long period fiber grating can demodulate a lot of fiber Bragg gratings. The experimental results show that the voltage of central wavelength and the photoelectric conversion of fiber Bragg grating have a good corresponding relationship. The demodulation method has some advantages including simple structure and high accuracy, so it can be used to measure the parameters of temperature and strain.

A chemiluminescence sensor is proposed based on the dielectric coated silver hollow fiber. A ray optics model is established for the multi-layer hollow fiber to analyze the loss spectrum and chemiluminescent characteristics. And parameters such as film surface roughness and thickness are taken into consideration. The fabrication techniques for coating sol-gel sensing film inside the hollow fiber are developed. A sensing system is designed and established for detecting hydrogen peroxide concentration and a high sensitivity (22.8 nW/(mmol·L-1)) and good detection limit (3μmol/L) are achieved. This sensor has a good performance in 200 hours. It has potential applications in environmental monitoring and biological analysis fields for its simple operation, fast response, and miniaturization.

To solve the problems that the averaging time of Allan variance can only reach half of total data length，and confidence at long averaging time is lower, according to the random errors properties of the inertial sensors at time and frequency domains, a new method for analyzing the random error properties of the inertial sensor based on high confidence and hybrid Allan variance (TheoH variance) is proposed, which can better adapt to the characteristics of optical gyroscope by changing the location of the transition point. The simulated random error of optical gyroscope and measured data of FOG start-up signal are analyzed with the TheoH variance and other variance analysis method. The results show that the estimation values of the TheoH variance are consistent with power-law noise，It can efficiently improve the confidence in the case of great averaging time, and its estimation accuracy is higher than the Allan variance, especially in long term τ-values.

To eliminate the measurement errors caused by fiber loss and loss variations, a solution employed in Raman distributed fiber sensing system with fiber-ring calibration method and double-ended injection structure is proposed and experimentally demonstrated. Double-ended injection structure adopted in the system eliminates the influence ofwavelength-dependent loss and local loss through geometric mean of anti-Stokes Raman scattering signal timesharing obtained from both ends of the sensing fiber. The fiber-ring calibration method is used to correct measurement errors caused by real-time variations of fiber losses. Moreover, with instantaneous switch between double-ended injection structure and single-ended mode, the system can monitor the temperature of the entire fiber even with presence of break point. Experiments show that measurement accuracy of 0.9 ℃ is obtained within temperature range of 15 ℃~210 ℃.

Suppression of coherent noise in digital holography can obtain higher quality digital holographic reconstructed image. A suppression of holographic coherent noise method which combines bilateral filter and wavelet filter is proposed. Firstly, the holographic reconstructed image is decomposed by wavelet transformation. Then the high-frequency component in wavelet domain is suppressed by the wavelet shrinkage algorithm. The low-pass approximation component is filtered by the bilateral filter. Finally, the inverse wavelet transform is processed. Through the simulation analysis, this method improves the image peak signal-to-noise ratio 0.4 dB～2 dB, and got a higher correlation coefficientcloser with the original image. The method is verified by holographic experiment data,and the results show that this method can effectively suppress the speckle noise, and at the same time, retain more details information of the reconstructed image.

In order to enhance the quality of medical image fusion, a novel CT and MRI image fusion algorithm is proposed based on Shift-invariant Shearlet Transform (SIST) and compressed sensing. Firstly, the source CT and MRI images are decomposed by SIST to obtain the low frequency sub-bands and high frequency sub-bands. Then, for the low frequency sub-band coefficients, a fusion rule method combining with a new improved spatial frequency, which improves regional weighted energy and local similarity matched degree, is presented. For high frequency sub-band coefficients, a scheme based on the theory of adaptive 2PCNN-CS is presented. Finally, the fused image is obtained by performing the inverse SIST. The experimental results show that the proposed approach can outperform the conventional CT and MRI images fusion methods in terms of both objective evaluation criteria and visual quality.

Vibration of carrier platform during travel will lead to the presence of geometric distortion of the images, which are obtained by optical panoramic imaging system. An image correction algorithm based on inertial navigation information was proposed, in order to correct the image. First of all, through the coordinate conversion scheme based on inertial navigation information, we can get the corresponding relationship for coordinate points between the corrected image and the original image. Then, via the edge-directed interpolation method, we can determine the gray value of each pixel in the image after the correction. Experimental results show that the algorithm can effectively achieve the goal of image correction for optical panoramic imaging system, suppress the edge blur effect of images, and improve the effect of image restoration.

The X-ray tube of usual computed tomography imaging system produces X-ray beam with a polychromatic spectrum, which results in low contrast of the materials with approximate attenuation coefficients in the reconstructed image. A method was proposed to obtain a new projection by decomposition of multi-voltage X-ray images. The distinction of the materials was enlarged in the reconstructed image by the new projection. In this method, the X-ray image of each voltage was considered as a sum of many narrow-energy-width X-ray images according to the law of X-ray imaging. Referring to non-negative matrix factorization, the new projection was got by minimizing the sum of squared error of multi-voltage X-ray images’ decomposition. A cylinder composed of silicon and aluminum was used in the experiment. The contrast of silicon and aluminum is evidently improved in the new reconstructed image compared to the direct reconstructed image. It shows the effectiveness of the proposed method.

To eliminate the blocking artifacts caused by three-dimensional (3D) image compression, a deblocking method is proposed based on joint dictionary. The proposed method mainly includes three stages: dictionary training, dictionary jointing and deblocking. At the dictionary training stage, an over-complete color dictionary and depth dictionary are trained respectively with state-of-the-art dictionary learning method. At the dictionary jointing stage, for a testing sample, its corresponding color-depth joint dictionary is constructed based on the sparse coefficients with respect to the learnt color and depth dictionaries. At the deblocking stage, by estimating the reconstruction error threshold, a deblocking operation is performed to get the reconstructed 3D images with respect to the learnt joint dictionary. Experimental results demonstrate that the proposed method can effectively reduce the blocking artifacts of the compressed 3D images and generate high-quality synthesized images.

A new method of surface smoothing based on the distance image median filtering and bilateral filtering is proposed, which can be applied to laser scanning imaging system. The method makes full use of the spatial topological information contained in the output of laser scanning imaging system, and considers the advantages and disadvantages of the bilateral filtering in surface smoothing carefully, then carries out the two dimensional processing to make surface smoothed, with maintaining surface’s shape to the maximum extent. Experimental results show that the proposed method can effectively achieve the surface smoothing, and its effect is better than traditional algorithms. Furthermore it is 8 times faster than traditional algorithms, so it can meet the real-time requirements more.

In the fusion of multi-source remote sensing image, for different ground region, usually the characteristics of spectral features and spatial detail information are different. In view of the problem, a new salient analysis model called IR (adaptive-radius-search) salient analysis model was proposed, which realized the identification and classification of the salient regions and non salient regions. Combined with HIS and wavelet transform fusion algorithm, an improved adaptive HIS fusion method was put forward based on average gradient weighting, which achieved the fusion of the road, farmland, residential area and other salient regions, and the method had better keeping the spatial details information of its abundant space. Meanwhile, the fusion method of HIS+WT transform was proposed, which realized the fusion of mountain, forest land, and other areas are not salient, retaining more spectral information. The method completed the adaptive remote sensing image fusion of different regions. The experimental results show that the proposed method of the paper could guarantee the fusion image of both to maintain high spatial detail performance ability, but also to retain good spectral information. The proposed method of the paper provides certain theoretical basis and application value for the research on agricultural science, forest planning and future forest remote sensing image classification, identification and so on.

For studying the effect of spontaneous emission of window on the performance of infrared detector system, we used ASAP software to simulate the spontaneous radiation of infrared detector window. The simulation results were presented in the way of equivalent black body radiation in front of the detector, and infrared detector under different temperature of black body radiation experiments were conducted to get real equivalent blackbody radiation. Through the comparison of two kinds of simulation results with experimental results, the error of the two kinds of simulation methods and the actual value were analyzed when the infrared detector detected different temperature. Finally, scheme two was suitable for the simulation of infrared detector window. Scheme two could also provide reference for the simulation modeling of other transparent optical components.

In the traditional infrared image non-uniformity correction method, detectors are at room temperature environment. When the environment temperature of detector is changing over a wide range, correction effect of these methods will be worse and not suited. To solve this problem, a non-uniformity correction method based on curved surfacefitting is proposed on the basis of original multiple points correction method. Fully considering the environment temperature of detector, original correction curve is increased to correction surface. Subsequent longitudinal comparative experiment and horizontal comparative experiment show that proposed method can greatly reduce the non-uniformity and adapt to the case of changing environment temperature.