A three-dimensional digital image processing technique is proposed to quantitatively predict the dispersion phenomena of oil droplet onto the surface of the water. This technique is able to get the dispersion rate of an oil droplet three-dimensionally just below the surface of the water over time. The obtained dispersion rate obtained through this technique is informative to the investigation into the relationship among the gravity, surface tensions between oil, water, and air. This technique is based upon the three-dimensional PIV(Particle Imaging Velocimetry) technique and its system mainly consists of a three CCD(Charge Coupled Device) cameras, an image grabber, and a host computer in which an image processing algorithm is adopted for the acquisition of dispersion rate oil an oil droplet.

본 논문에서는 기존 현수교의 정밀측량을 효과적으로 대체할 목적으로 비용과 인력의 소요가 적은 고해상도 디지털 카메라를 이용한 화상변위측정기법을 제시하고 이를 자동화 할 수 있는 프로그램을 개발하였다. 사진의 분할매수에 따른 측정의 정밀도를 고찰하기 위하여 구조물 전체를 5장, 13장, 19장으로 분할 촬영하였고 실제 공용중인 현수교를 대상으로 측정결과를 비교하였다. 개발된 화상처리기법을 이용한 측정결과는 실제 현수교의 정밀형상 측량결과와 비교적 잘 일치하였으며 측정에 소요된 비용과 시간이 매우 절감되는 것으로 나타났다. 본 연구에서 개발된 측정기법은 렌즈의 왜곡현상 보정알고리즘을 개선하고 프로그램의 자동화 비율을 높인다면 다양한 구조물에 적용될 수 있을 것으로 판단된다.

A digital image processing technique which is able to be used for getting the velocity vector distribution of a surface of the spilt oil in the ocean without contacting the flow itself. This technique is based upon the PIV(Particle Imaging Velocimetry) technique and its system mainly consists of a high sensitive camera, a CCD camera, an image grabber, and a host computer in which an image processing algorithm is adopted for velocity vector acquisition. For the acquisition of the advective velocity vector of floating matters on the ocean, a new multi-frame tracking algorithm is proposed, and for the acquisition of the diffusion velocity vector distribution of the spilt oil onto the water surface, a high sensitive gray-level cross-correlation algorithm is proposed.

A digital image processing technique which is able to be used for getting the velocity vector distribution of a surface of the spilt oil in the ocean without contacting the flow itself. This technique is based upon the PIV(Particle Imaging Velocimetry) technique and its system mainly consists of a high sensitive camera, a CCD camera, an image grabber, and a host computer in which an image processing algorithm is adopted for velocity vector acquisition. For the acquisition of the advective velocity vector of floating matters on the ocean, a new multi-frame tracking algorithm is proposed, and for the acquisition of the diffusion velocity vector distribution of the spilt oil onto the water surface, a high sensitive gray-level cross-correlation algorithm is proposed.