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 ge

Abstract: A three-dimensional measurement sensor based on line structured light, comprising a sensing head and a controller. The sensing head is used for collecting section data and attitude information of its own, and matching the section data with the self attitude information. The sensing head comprises a three-dimensional camera, an attitude sensor, a laser and a control sub-board, wherein the three-dimensional camera is installed at a certain angle relative to the laser, and acquires elevation and grey information about an object surface corresponding to laser rays using a triangulation principle. The attitude sensor, the three-dimensional camera and the laser are installed on the same rigid plane, and the attitude sensor reflects measurement attitude of the three-dimensional camera and the laser in real time. The controller is used for measuring and controlling the sensing head, performing data processing transmission and supporting external control.

Abstract: The present invention discloses a stepwise refinement detection method for pavement cracks, processing pavement images comprising the following primary steps: extracting and processing marking lines, extracting ROA, adaptive threshold segmentation based on ROA, extracting ROC and region growth based on ROC direction feature weighting.

Abstract: A three-dimensional measurement sensor based on line structured light, comprising a sensing head and a controller. The sensing head is used for collecting section data and attitude information of its own, and matching the section data with the self attitude information. The sensing head comprises a three-dimensional camera, an attitude sensor, a laser and a control sub-board, wherein the three-dimensional camera is installed at a certain angle relative to the laser, and acquires elevation and grey information about an object surface corresponding to laser rays using a triangulation principle. The attitude sensor, the three-dimensional camera and the laser are installed on the same rigid plane, and the attitude sensor reflects measurement attitude of the three-dimensional camera and the laser in real time. The controller is used for measuring and controlling the sensing head, performing data processing transmission and supporting external control.

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 ge