Research On Image Processing Of Underwater ROV Vision System

More than 70% of our living earth is covered by the ocean,the use of marine ecological resources for the global economy plays a vital role.In recent centuries,human has faced serious resource scarcity due to the surge in population.In recent centuries,man has faced serious resource scarcity due to the surge in population.Countries around the world have strengthened their exploration of the marine environment,the development of marine science and technology and the use of marine resources.The sustainable development of human social resources requires people to increase the development and utilization of marine industry.Among them,underwater robot technology is one of the most important means by which mankind can use modern technology to detect mysterious seabed world.In order to better develop underwater robot technology,people need to develop more advanced underwater machine vision technology for accurate and clear submarine resource detection and mining.Therefore,the processing technology of the underwater target image is very important in the field of submarine exploration,underwater object trajectory tracking and positioning.The attenuation of the light propagating through the water medium has brought a series of problems to underwater image imaging.Underwater targets in the imaging will be subject to sea water and suspended solids and other physical properties of the impact of the collected image blur,poor contrast.The research of underwater video and image enhancement algorithms has always been the direction of attention in the field of machine vision,which is of great theoretical and practical value.In this paper,the problems of the visual system of underwater robot are solved,which are based on the external mechanical installation of the underwater machine vision system and the clear image processing of the visual system.Aiming at the problems encountered in the process of underwater image imaging,the key factors influencing the shooting of underwater machine vision system are determined.Based on the analysis of experimental results,a practical method is given.A new image processing algorithm is designed and optimized.The experimental results show that the proposed method can provide good guidance for the research of the underwater robot vision system.Through the adjustment of the contrast,the enhancement of the underwater image visibility and the effective enlargement of the detail information of the image are realized,so that the problems caused by the uneven underwater illumination can be effectively alleviated.In this paper,the underwater robot camera is used to collect the weld image,and then the water quality image is preprocessed by the algorithm optimization.The location information of the weld is extracted to provide data support for the detectionof the weld defects of the underwater robot.The images are pretreated by a series of algorithms,the weld area is divided by the subtraction method and the effective information of the crack defects is detected.The implementation of this method provides the basis for the defect detection process of underwater oil pipeline weld.