3D Reconstruction Of Layer Data Of Stress Wave Log Inner Decay Images Based On OpenGL

Wood is a human use history's longest renewable natural resources. With the social progress, people to production, life quality requirements enhancement, to lumber demand to increase gradually. Fully effectively use timber resources, to produce the maximum economic and social benefits of forestry science research workers, is the world care together and continuously research topic. Stress wave nondestructive testing technology as the wood nondestructive testing technology in the past decades obtained a rapid development and the domestic and foreign research shows that stress wave technology in wood of internal defects detection, the online product quality control, trees on protection of have broad application prospects. This paper using vc++and OpenGL platform realized three-dimensional reconstruction internal decaying log, can accurately discriminant out internal decaying log, and three-dimensional shape and size for log defects detection, log reasonable classification, reasonable made material and build material processing LiMu automation production, health evaluation, wooden building strength assessment theoretical basis and provide scientific basis for the application. The results of the study of wood reduction loss and waste, enhances our country log utilization has the vital significance.3D reconstruction technique is the late1980s rapidly develop a new technology, is scientific computing visualization one of important research fields, and scientific computing visualization is the current computer science, one of the important research direction. The fault data reconstruction objects by3D model is a common data field visualization technology. The study aims to test or numerical calculation of large quantities of data transformation of human visual can feel computer images.This paper first analyzes the stress wave in the logs cross-sectional media theory and spread rule and stress wave wood working principle of nondestructive testing (NDT) system, and based on this ARBOTOM stress wave wood, use nondestructive system obtain get a group of log internal decayed fault figure; Secondly, the application of digital image processing technique, the fault image obtained the main purpose of pretreatment and pretreatment is to eliminate image in acquisition, storage, transfer, extraction process of the noise and pseudo like, including filtering noise reduction processing and image enhancement processing, to make more clear, decaying log internal eye identification for follow-up for preparing and handling, according to the actual need of existing paper image processing method of comparative study, choose the most suitable image preprocessing scheme; Then, after pretreatment of fault for image segmentation image, and by using the method of mathematical morphology after threshold segmentation image processing technology, eliminate useless information, retain useful information; Using edge detection operators extract log boundary contours and reflect the edge of internal decaying log information; The continuity of the Outlines in processing b-spline curve introduced to fit and contour line to improve its continuity; Then, contour line joining together with computational tasks, and the optimal triangular shapes for target was proposed based on Delaunay triangulations profile stitching algorithm. Final between layers of fault image interpolation and finish the workbench in OpenGL3D reconstruction internal decaying log, internal decaying log internal decayed3D structure to determine the shape, realization log corrosion defects detection within, thus for log defects detection, log reasonable classification, reasonable made material and build material processing automation production, trees health evaluation, wooden building strength assessment theoretical basis and provide scientific basis for the application.