CAJ | 학술논문

在粒子图像测速(PIV)算法研究现状的基础上,提出基于块匹配的PIV算法.针对算法中的匹配区划分和匹配准则选择,给出了匹配区划分的一般准则,即匹配区尺寸必须显著大于粒子直径;同时提出了以最小绝对误差/最小均方差匹配准则替代传统的互相关准则的PIV算法.实验证明,采用最小绝对误差和最小均方差准则替换传统的互相关评价准则,在保证估计精度基本不变的前提下,算法的运行时间减少超过50%,运行效率提高一倍以上;实验结果也证明了匹配区划分准则的正确性.
재입자도상측속(PIV)산법연구현상적기출상,제출기우괴필배적PIV산법.침대산법중적필배구화분화필배준칙선택,급출료필배구화분적일반준칙,즉필배구척촌필수현저대우입자직경;동시제출료이최소절대오차/최소균방차필배준칙체대전통적호상관준칙적PIV산법.실험증명,채용최소절대오차화최소균방차준칙체환전통적호상관평개준칙,재보증고계정도기본불변적전제하,산법적운행시간감소초과50%,운행효솔제고일배이상;실험결과야증명료필배구화분준칙적정학성.
@@@@Reviews the research status of the Particle image Velocimetry algorithm based on a new block‐based matching algorithm of PIV have been proposed .For two key algorithm‐to match the zoning and match the criteria for selecting article gives general guidelines to match the zoning ,the size of the matching area must be significantly larger than the particle diameter ;MAD /MSE matching criteria for alternative traditional inter‐related criteria for PIV algorithm .The experiment proved that the use of the MAD and MSE criteria to replace the traditional cross‐correlation evaluation criteria to guarantee the estimation accuracy is essentially the same premise ,the running time is reduced by more than 50% ,operating efficiency more than double ;experimental results also clearly proved the correctness of the match the zoning guidelines .