Research On 3D Model Segmentation Algorithm Based On Two-Dimensional Image

This paper designs and implements a three-dimensional model segmentation method based on two-dimensional image.The traditional three-dimensional model segmentation process is often accompanied by a large amount of computation and complexity.In contrast,the two-dimensional image segmentation technology is already very mature,and the image segmentation process is more intuitive and computationally efficient than the 3D model segmentation process.In view of the above problems,this paper uses the result of image segmentation to complete the three-dimensional model segmentation.This method uses the combination of 3D model preprocessing and image segmentation to establish the mapping relationship between the projection image and the three-dimensional model.The contours of the geometric objects in the projection image are extracted and segmented.Finally,the segmentation results are mapped to the 3D model.The specific research contents are as follows:1.A mapping method based on CPCA to 2D model to 3D model is proposed.This method uses CPCA method to preprocess the model,establishes the three-dimensional model bounding box,and uses the bounding box to project the model to obtain the mapping relationship between the two-dimensional image and the three-dimensional model.2.A method of contour extraction based on point set is proposed.The method is used to extract the corresponding point set of the foreground pixels through the binary map,and the geometric image is constructed on the set of points,and then the contour line is extracted.The contours extracted by this method have high precision,which can preserve the edge information of the object well and are not easily affected by the noise point.3.An improved adaptive corner detection method based on curvature and multi-scale(AMCP method)is proposed.This method uses the contours extracted from the point set to replace the traditional Canny operator contours,and further improves the detection accuracy of the detected comers based on the AMCP method.4.An image segmentation method based on weak correlation is proposed.In this method,the method is used to calculate the correlation between the neighborhoods in the neighborhood,and the points with strong correlation are excluded and the points with weak correlation are connected.The image segmentation result satisfying the human visual characteristic is formed,and the 3D model segmentation is completed with the result.