As an effective way to integrate complementary information in multisensor detection system, image fusion technology has been widely used in robotic vision, medical diagnosis and safety monitoring. At the same time, the dual band infrared detection system has been widely used in the field of guidance and detection.Because dual-band/multi-band infrared detection has the characteristics of wide detection range and multi-target radiation information. Therefore, there is an urgent need of a fusion of the dual-bands infrared images. In order to obtain better image quality, infrared dual-frequency image fusion technology is used to synthesize different radiation information of target and background.In this paper, a new infrared dual-band image fusion with simplified pulse coupled neural network(PCNN) and visual saliency map(VSM) Framework in nonsubampled shearlet domain (NSST) is proposed. In the proposed method, first, the sours images are decomposed into base parts and multiscale and multidirection representations in NSST domain. Then,base parts are fused by VSM fusion approach. For the high-frequency bands are fused by a Simplified pulse coupled neural network model. Finally, the final image is reconstructed by inverse NSST. As a result, the fused image details will be presented more naturally, which is more suitable for human visual perception. The experimental results demonstrate that evaluation quality of the fused images is improved by comparing three objective evaluation factors with three popular fusion methods.This technology is of great significance to the development of image field.
Some experiments show that the laser propagation in the actual atmosphere will deviate from the ideal Kolmogorov model. Based on the generalized Huygens-Fresnel principle and non-Kolmogorov turbulence model, the analytical propagation expressions of partially coherent four-petal elliptical Gaussian vortex (PCEPEGV) beams in non-Kolmogorov atmospheric turbulence are derived, and the correctness of the analytical results is verified by simulation. The results show that topological charge number and coherence width play a key role in beam propagation. Large topological charge number, small beam order and large elliptical factor can alleviate the influence of atmospheric turbulence effectively and suppress mode crosstalk in orbital angular momentum mode propagation.
In the traditional pose detection method, the interferometer based on laser interferometry is bulky and expensive, and requires strict environmental temperature. The direct optical triangulation is limited by the aperture of the imaging lens, resulting in loss of light energy and reducing detection resolution. The oblique triangulation has serious shading phenomenon when detecting surface objects or complex surface targets, and the application range is narrow. The optical autocollimating method is applied to the field of small angles detection, but has the disadvantages of large size, low precision and complex structure. Therefore, it is of great scientific value to improve the accuracy of the pose detection system and reduce the volume of the detection system. In response to the above requirements, this paper designs an improved optical autocollimating detection system based on dual two-dimensional PSDs, which improves the accuracy and reduces the volume of the detection system. The position and angular resolution of the detection system is up to μm and μrad.
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