水流结构是水流泥沙研究的基础，流场测量是获取水流结构的关键技术问题。而模型试验是开展水流泥沙研究的重要方法，本课题拟将彩色图像处理技术引入模型试验流场测量方法研究中，进行以下研究工作：设计彩色示踪粒子，并通过水槽试验与模型试验相结合，研究各种彩色示踪粒子的示踪性能，包括在复杂光照条件下的成像质量、水流跟随性能、是否聚集成团及在模型上搁浅等；应用彩色图像处理技术，研究彩色粒子的自动识别及提取方法，并结合流体力学理论研究彩色示踪粒子的PTV匹配算法；研究模型试验彩色粒子图像测速系统的构建方法，并进行系统精度试验。本课题是在黑白粒子图像测速技术基础上开展的创新性拓展研究，通过研究，提出彩色示踪粒子设计方法及其示踪性能分析方法，建立彩色粒子图像识别与PTV算法实现方法，构建彩色粒子图像测速系统。研究成果对显著提高模型试验流场测量技术、提升水动力、水环境及水生态等水流泥沙研究水平具有重要意义。

Water flow structure is the basis of research on water flow and sediment.Flow field measurement is a key technical problem in acquisition of water flow structure.However,model test plays an important role in research on water flow and sediment.Color image processing is introduced into research on method for flow field measurement in model test,research works are listed as follow:design color tracer particle,research the tracer performances of various color particles,the image quality under complicated illumination,performance of following water flow,and the aggregation and stranding on model are included.Color image processing is applied to research on the automatic recognition and extraction method for color particles, and the PTV algorithm is studied based on hydrodynamics.The construction method and accuracy test of the system of color particle image velocimetry is studied. This research topic is an innovative development research based on grayscale particle image velocimetry.Through the research, the methods for designing color particle and analysising tracer perfomance of color particle are proposed,the implementation methods for recognition of color particle image and PTV algorithm are established,and the system of color particle image velocimetry is constructed.Research result has important significance for improving technique of flow field measurement in model test and the research level of water flow and sediment such as hydrodynamic,water environment and water ecology.