According to the practical requirements for extracting the cross-sectional feature parameters of aircraft engine blade

algorithms based on unorganized point cloud were studied. For the point cloud sorting

the distance-dichotomy based on rectangular corrosion was presented in consideration of the advantages of distance method and dichotomy. The approach based on minimum contain regional linear fitting and least square circle approximation was proposed for partitioning automatically the cross-sectional data of blade into four parts of leading edge

trailing edge

pressure face and suction face.The algorithms of feature parameters extraction were studied as well

and realized with VC++ and simulated using the unorganized point data generated by UG/OpenGrip. The experiments show that the precision of the calculation can reach 10-4 mm

indicating that algorithm calculation error can be ignored in the practical measurement and parameter extraction.