Reconstruction of Anatomy Experiment Based on 3D Virtual Theory

In order to extract the contour feature of human anatomy experiment organ image effectively and realize 3D visualization reconstruction of 3D virtual anatomy experiment, an image extraction algorithm of human anatomy experiment organ based on Harris wavelet multi-scale segmentation is proposed. The reconstruction model of anatomical experiment based on three-dimensional virtual is constructed. The Splines biorthogonal wavelet is used to enhance the image of human anatomy experiment organ, and the 3D reconstruction model of the feature sequence and edge contour point of the human anatomy experiment is initialized after the enhancement processing. The affine transform feature detection technique is used to improve the traditional Snake algorithm to enhance the edge virtual information feature points of the image and extract the edge features of the human anatomy experimental organ image effectively. Then, the frame points are arranged according to the intensity of pheromone distribution, and the edge contour feature extraction result of the previous image is used as the initial point of edge extraction in the next image of human anatomy experiment organ, and then the frame points are arranged according to the intensity of pheromone distribution. Achieve the human anatomy experiment organ image edge detection batch processing. The simulation results show that the proposed algorithm can effectively extract the edge contour of the human anatomy experiment organ image, and the edge contour point is closer to the real organ edge of the human anatomy experiment, and the reconstruction of the anatomy experiment can be realized effectively.