An analysis based on the Jones matrix theoretical analysis is presented in this paper, which is based on the distributed optical fiber location system to study the polarization effect. A new improved distributed optical fiber structured is designed by using a Faraday rotation mirror ,the system is insensitive to the change of the polarization in the sensing part of the optical fiber, remove the linear birefringence and the orientation birefringence, the practicability of the system is increased.
In this paper, a surface projection image stitching algorithm based on object coordinate system is proposed to generate stereoscopic image, which can be applied to virtual reality and vehicle assisted driving. According to the actual application, a suitable 3D model is established, and the image is mapped based on the object coordinate system. The 3D model is divided into fusion and non-fusion regions, and the original image is mapped to the non-fusion region. For the stitching region, combined with the model features, a weighted average fusion algorithm based on angle information is designed to correct the color of the stitched image to eliminate uneven illumination and brightness. The experimental results show that the stereoscopic image generated by this method can display the surrounding environment of the car body in a stereoscopic manner, with high image stitching accuracy and good visual effect.
In this paper, an edge extraction model based on artificial bee colony algorithm has been proposed to overcome the problems of concrete defect detection in complex underwater environment specialized to dam cracks detection. To enhance weak-object edge gray contrast under different brightness, the adaptive enhancement method is presented in which a concept of two-dimensional lateral inhibitory network is introduced and a border highlighting rule is designed. Furthermore, to increase the edge extraction effective, the improved artificial bee colony algorithm is used in which an optimization strategy is based on edge direction information. Some experiments are carried out on underwater dam crack images in different environments and the experimental results show the efficiency and effectiveness of the algorithm.
Due to the light scattering and absorption, underwater images were blurred such as fog, uneven illumination, overexposure or lack of light. We proposed an image enhancement algorithm based on granular computing to enhance underwater optical image in this paper. First, the illumination information of underwater image was extracted. Then, we dividing the illumination information into granularity of different sizes from wide to thin by calculated the effectiveness indicators. Finally, by calculating their value and compensation for each granularity, we obtained the adaptive enhancement image. The simulation and experiment results verify the effectiveness of the algorithm.
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