Papers by Keyword: Infrared Image

Abstract: Since the thermal imaging system detection ability and spatial resolution is lower than visible light CCD array,the definition of the infrared image is lower than that of the visible light image, which needs enhancement to improve image quality and for human vision. This paper proposes an enhancement algorithm of infrared images based on dual threshold of the exponential transform, firstly the original image can be processed by median filter to reduce noise,next separate the detail information of the 14-bit infrared image after noise reduction; then deal the detail image with the double threshold method based on the exponential transform,retaining or enhancing the detail information;when it comes to the base image,deal it with the gray linear mapping method, compressing its dynamic range.Finally the detail image and the base image are composed together after processing,getting 8-bit infrared image which can display and be processed on an ordinary display.

Abstract: Image contrast of fiber gyroscope fiber defects was low, at the same time object and background didn’t discriminate easily. Fuzzy image enhancement processing was studied and part low gray level was set zero, which leads to original image information loss using the Pal fuzzy algorithm. Combine minimum bias-normal distribution index and modified fuzzy algorithm was put forward and spacing point is counted by minimum bias-normal distribution index and then automatically affirms sub region and nonlinearity transformation was used in inverse process. This algorithm can engender different enhancement effect in different image region, which enhance contrast ratio in object and background, outstanding defect character. The algorithm was used for fiber gyroscope fiber defect infrared image processing. Experiment results show that the algorithm is effectiveness.

Abstract: Directionlet transform is a lattice-based skewed discrete wavelet transform. It has advantages of multi-directional and anisotropy compared with standard two-dimensional wavelet transform, thus, it is better at describing the characteristics of images. For the research focus of different-source image fusion, a novel fusion algorithm based on Directionlet transform was proposed, and the fusion speed was improved efficiently by combing the transform with a lifting scheme. Firstly, between transform direction and alignment direction, two registered source images were decomposed by using lifting Directionlet transform respectively in different times, thus anisotropic sub images were obtained. Then, the low frequency components were combined averagely and the selection principle of high frequency sub images were based on which has stronger anisotropic edge information. Finally, the fused image was obtained by using inverse Directionlet transform. Experimental results show that the fusion effect and speed are both better than standard wavelet transform and other second generation wavelet transform.

Abstract: A natural color fusion method for infrared and low-light-level image is proposed. This method utilizes image fusion and color transfer. The fused image uses sparse representation to merge the source images information to be assigned to the Y channel. And then the I and Q channel is combined using Toets method, which extracts the common component from the source images. Finally, the false-color image is obtained by using color transfer technology to the prior pseudo-color YIQ image. Experiments show that the result of our method is information that is more salient, has a higher color contrast, and a more natural color appearance when compared with those produced by the traditional coloration algorithm.

Abstract: During metallurgy and food processing it is always necessary for real-time detection of stereo temperature distribution in reaction cavity of microwave. We focus on the stereo reconstruction of temperature distribution of the microwave reaction chamber using real-time image data captured by infrared sensor during heating process. Due to the stereo depth of the scene in humans vision system is mapped through disparity, thus the key technology stereo reconsturction of temperature is to find the corresponding points in the image pair. We employ the block matching algorithm to search the correspondence by minimizing a cost function derived on a hierarchical tree structured pyramid probabilistic graph. The study result shows that in the back projection of the depth map, the walls, ceiling, and floor of the microwave reactor all appear mutually orthogonal, which illustrates that the stereo temperature field is well reconstructed.

Abstract: A shearlets-based edge identification algorithem for the sea-sky in infrared image is proposed. The algorithem demonstrates the performance of edge detection based on shearlets, which is proper to use in infrared images. Simultaneously, with the advantage of edge geometric features provided by the shearlets, infrared image were extracted the direction information of edge of Infrared image, and classified. Simulation results conformed to the theory on edge detection based on shearlets. It drew the outline of edge for infrared image, provided the edge orientation feature and detected the sea-sky line.

Abstract: The same scene, the infrared image and visible image fusion can concurrently take advantage of the original image information can overcome the limitations and differences of a single sensor image in terms of geometric, spectral and spatial resolution, to improve the quality of the image , which help to locate, identify and explain the physical phenomena and events. Put forward a kind of image fusion method based on wavelet transform. And for the wavelet decomposition of the frequency domain, respectively, discussed the principles of select high-frequency coefficients and low frequency coefficients, highlight the contours of parts and the weakening of the details section, fusion, image fusion has the characteristics of two or multiple images, more people or the visual characteristics of the machine, the image for further analysis and understanding, detection and identification or tracking of the target image.

Abstract: nfrared temperature measurement technology is an important means that early detection of equipment external overheating fault and internal insulation fault, and advanced detection methods of power equipment condition monitoring.Infrared temperature measurement technology found the hidden dangers of electrical equipment heating of the external connection points, has been widely applied in power system. With comparing the original ant colony optimization, this paper presents an improved weighted Ant Colony Optimization path planning algorithm based on Infrared image acquisition noise reduction processing and combining WCDMA network transmission mode, and constitute a visual background management system with rural power network .The system could capture power equipment infrared images and reduction noise simply, send it to the background server through the 3G network, for artificial auxiliary to predicting grid failure, scientific planning repair inspection path with improved navigation algorithm, and improve the stability of the power grid operation.

Abstract: This paper proposes a method to detect fire by processing the images captured by an CCD camera with infrared filter. First, the flame objects are detected by using two consecutive frames difference and background difference. Using genetic algorithm to optimize the threshold, the image is segmented by using Ostu. The boundary chain code is acquired on the basis of extracting flame contour. Lastly, shape feature, change feature and edge jitter feature are used to judge whether the fire exists. This method suppresses visible light interference. The experiment results show that the algorithm has higher reorganization rate in different environment.

Abstract: This work presents the design and implementation of drivers fatigue detection system based on FPGA to prevent car accidents. According to the bright pupil phenomenon, which is produced by the retina when the incident lights wavelength is 850 nm, drivers eyes can be detected easily. While acquiring the real-time video of the drivers face by camera, the system accomplishes the detection of drivers eyes by using a simplified PCNN (pulse coupled neural network) and the computation of the PERCLOS (Percentage of Eye Closure) to decide whether the driver is fatigue or not. All the designing and accomplishments of the system are based on the FPGA platform Xilinx Virtex Pro Development Board. During the experiments, the system has the ability of processing 25 frames/sec, which is the speed of collection of the used camera. Also, the fatigue detection system has good stability and accuracy.