Title: Methods of Binarization for 3D Object Reconstruction from Raster Projection
Abstract: In raster projection imaging and 3D object reconstruction,due to the shadow and the ununiformity of illumination,high quality of image segmentation cannot be achieved using traditional binarization.In this paper,two methods of image binarization for 3D object reconstruction from raster projection are proposed.One of the methods is spatial binarization in contrast to fully exposed bright image.Another is spatial binarization optimized with maximal covariance grouping.In the two methods,all the 2D images in the series of raster projecting images are processed at the same spatial point.Thus,the affections of shadow and uneven illumination on segmentation can be overcome.Experiments show that the quality of the image binarization is improved significantly,and the precision of the final 3D surface reconstruction is increased,too.The two methods also have the advantages of simple programming and easy implementation.
Publication Year: 2005
Publication Date: 2005-01-01
Language: en
Type: article
Access and Citation
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot