수중 유속 및 유향의 동시 측정을 위한 이미지 분석 기술에 관한 연구
Image Analysis for the Simultaneous Measurement of Underwater Flow Velocity and Direction
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To measure the flow velocity and direction in the near field of an unmanned underwater vehicle, an optical measurement unit containingan image sensor and a phosphor-integrated pillar that mimics the neuromasts of a fish was constructed. To analyze pillar movement,which changes with fluid flow, fluorescence image analysis was conducted. To analyze the flow velocity, mean force analysis,which could determine the relationship between the light intensity of a fluorescence image and an external force, and length-force analysis,which could determine the distance between the center points of two fluorescence images, were employed. Additionally, angle analysisthat can determine the angles at which pixels of a digital image change was selected to analyze the direction of fluid flow. The flowvelocity analysis results showed a high correlation of 0.977 between the external force and the light intensity of the fluorescence image,and in the case of direction analysis, omnidirectional movement could be analyzed. Through this study, we confirmed the effectivenessof optical flow sensors equipped with phosphor-integrated pillars.
Abstract
To measure the flow velocity and direction in the near field of an unmanned underwater vehicle, an optical measurement unit containingan image sensor and a phosphor-integrated pillar that mimics the neuromasts of a fish was constructed. To analyze pillar movement,which changes with fluid flow, fluorescence image analysis was conducted. To analyze the flow velocity, mean force analysis,which could determine the relationship between the light intensity of a fluorescence image and an external force, and length-force analysis,which could determine the distance between the center points of two fluorescence images, were employed. Additionally, angle analysisthat can determine the angles at which pixels of a digital image change was selected to analyze the direction of fluid flow. The flowvelocity analysis results showed a high correlation of 0.977 between the external force and the light intensity of the fluorescence image,and in the case of direction analysis, omnidirectional movement could be analyzed. Through this study, we confirmed the effectivenessof optical flow sensors equipped with phosphor-integrated pillars.
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