Methods for extracting surface deformation feature of object based on linear scanning three-dimensional point cloud

Abstract

A method for extracting a surface deformation feature of an object based on linear scanning three-dimensional point cloud is disclosed comprising: performing data acquisition by using a three-dimensional measurement sensor based on line structured light, and obtaining a three-dimensional point cloud data of a surface of the object after data pre-processing; eliminating influences of abnormal data and textures on extraction of sectional main profiles, to accurately obtain the sectional main profiles of the object; obtaining a binary image based on deformation feature points extracted from sections, in conjunction with a deformation feature knowledge base, and preliminarily positioning a deformation region based on sub-block images to obtain a set of target morphology sub-blocks; then performing a morphological operation on deformation feature points in the set of target morphology sub-blocks, and generating a deformation region of confidence ROC, and then performing a region growth to extract a target using geometrical features of the ROC so as to guarantee completeness of detection of deformation regions; and finally, making statistics on deformation characteristic values of a deformation region in the surface of the object according to predefined deformation features, so as to accurately obtain complete attribute information about deformation of the object.