Papers by Keyword: Infrared Image

Abstract: The disadvantages of infrared image are low resolution, bad stereoscopic sense, fuzzy image and low SNR, according to the application of infrared image in fault diagnosis of electronic power equipment, in this paper ,we make a comparative research on pre-processing technique of image de-noising and enhancement, and propose an infrared image enhancement algorithm based on platform histogram equalization combined with enhanced high-pass filtering, the algorithm can effectively improve the contrast by comparison, it is obvious to the noise effect, highlighting the objectives and details, and makes a good foundation for the subsequent target identification and fault diagnosis.

Abstract: In this paper, the nano-β-SiC/Al2O3 composite absorbing coatings produced by plasma spraying technology were reported. Where, β-SiC phase dissipates in the boundary of Al2O3 grains. Then, the relationship between microstructure and dielectric properties was built. Some results are shown as follows: with increasing of flatten ratio of particle and pores, the microwave reflectivity coefficient of composite absorbing coatings decreases and ranges to low frequency. And, there exists a threshold value, about 30wt% of nano β-SiC, the microwave reflectivity coefficient of composite absorbing coatings can reach to -8 dB. The infrared properties of β-SiC/ Al2O3composite absorbing coatings with experiment is about 0.6~0.8, respectively.

Abstract: In the multi-color printing, the four inks used are cyan, magenta, yellow and black, which have different response in the near infrared spectral area, in which the black with CMK color inks have no response while the black with K color ink has a good response. But two kinds of black are both visible and equivalent under daylight. Based on this principle and gray component replacement (GCR) theory, this paper introduces a black component generation method for black ink hiding infrared security image. Firstly, we establish a color lookup table for GCR and find the substitution relation between K and CMY. Secondly, the source image is color-separated with the mask which is the security image. The source image is firstly converted to CMY color format data words. The black value of each pixel for security image is detected and treated as GCR value of the corresponding pixel for source image. Then CMY values are found in GCR LUT and subtracted from three primary CMY values. And an adjustment coefficient is employed for color correction. Thirdly, the color separation image is printed. In daylight the visual effect of printed image is the same as that of source image, but the security image is detected by IR camera. Finally, a series of experiments are performed on HP Color LaserJet CP2035 printer. Experimental results show that the proposed method is promising and feasible for black ink hiding IR security image.

Abstract: In order to solve the infrared and visible image registration problem, a new edge matching method is proposed. Firstly, the algorithm gets edges using Canny operator, and then computes the image edge normalized correlation value (IENC) which is treated as the matching degree of registration. In order to evaluate the performance of the proposed algorithm, a comparison experiment between the proposed algorithm and the algorithm based on Hausdorff distance is done. Experimental results show that the proposed algorithm is effective, small amount of computation and good stability.

Abstract: No matter in civil remote sensing or in military investigation, infrared images have an extensive application value. According to the characteristics of the infrared images, in this paper, we build comprehensive feature vectors of airplane identification based on comprehensive consideration of the characteristics of infrared images, including boundary invariant moments , normalized moment of inertia and geometric features. Identifying an air plane by calculating the comparability of feature vector between template image and the image to be identified, the algorithm has been proved by experiments to have a better stability and robustness.

Abstract: Information redundancy and complementarity are existing between the images obtained by multi-sensor, image fusion can improve the certainty and reliability of the information. Traditional method of image fusion based on multiresolution decomposition is susceptible to high frequency noise, fusion is often ineffective. A image fusion algorithm has been studied based on the wavelet multiresolution decomposition which is regional energy maximum for low-frequency decomposition image, and the bivariate statistical model for high-frequency part. The results show that: in the conditions of Daubechies 3 wavelet basis function, decomposition level 5 multiresolution decomposition, the bivariate statistical model for the high-frequency band is robust to noise based on the joint probability of wavelet coefficient pair - a wavelet coefficient and its parent; in the same time, the regional energy maximum for low-frequency band can be effective on the high-frequency band based on the bivariate statistical model. The fusion image has the biggish contrast, the preferable details, the higher gray level resolution.

Abstract: In recent years, the gray-scale thresholding segmentation has emerged as a primary tool for image segmentation. However, the application of segmentation algorithms to an image is often disappointing. Based on the characteristics analysis of infrared image, this paper develops several gray-scale thresholding segmentation methods capable of automatic segmentation in regions of pedestrians of infrared image. The approaches of gray-scale thresholding segmentation method are described. Then the experimental system is established by using the infrared CCD device for pedestrian image detection. The image segmentation results generated by the algorithm in the experiment demonstrate that the Otsu thresholding segmentation method has achieved a kind of algorithm on automatic detection and segmentation of infrared image information in regions of interest of image.

Abstract: Accurate detection of weld seam deviations from the desired path during laser welding process facilitates seam tracking monitoring and is thus of primary concern in performing successful weld. This paper proposes a novel method for real-time seam tracking monitoring during high-power fiber laser welding, as it investigates into the techniques of infrared image sensing and visual recognition. Molten pool images were taken by a high-speed camera arranged in the off-axis direction of laser beam. Accumulative grayscale variation based on a molten pool thermal distribution was extracted and used to determine the deviations between the laser beam focus and the weld seam center. The proposed algorithm was experimented on a butt joint laser welding of Type 304 stainless steel plates at a continuous wave fiber laser power of 10 kW.

Abstract: In the multi-color printing, the four inks used are cyan, magenta, yellow and black, which have different response in the near infrared spectral area, in which the black with CMK color inks have no response while the black with K color ink has a good response. But two kinds of black are both visible and equivalent under daylight. Based on this principle, this paper introduces a new method of security printing by K ink hiding infrared image. To hide infrared image in source image, the Yule-Nielsen modified spectral Neugebauer equations is employed, the Yule-Nielsen parameter is found based on a least squares regression over a training set of spectral measurements, then the source image is color-separated with the mask which is the security image. The security image must be a grey-scale map. The security information is stored in the K channel of the color separation image which is printed. In daylight the visual effect of printed image is the same as that of source image, but the security image is detected by IR camera. Finally, a series of experiments are performed on HP Color LaserJet CP2035 printer. Experimental results show that the proposed method is promising and feasible for preventing from falsifying presswork.

Abstract: The traditional image magnify method usually have some defects on details. This paper gives a new infrared image magnification and enhancement method which is based on wavelet reconstruction and gradation segment. In this method, first of all, make wavelet transform on the image, get the high-frequency coefficient. Apply the Newton differential algorithm enhance the high-frequency coefficient as the high-frequency part of the magnified image, treat the original image as the low-frequency part , make the wavelet reconstruction ,then get the magnified image. To enhance the magnified image, according to the double gray threshold, segment the image into high gray segment corresponding to target, low gray segment corresponding to background, and middle gray segment corresponding to transition sector. Then, make linear extension to them respectively; the result is the magnified image. Experiments indicate, this method is effective on distinguishing high-energy target from low-energy target (the low-energy target is the primary one) and displaying the details of image(edge profile of the bomb).