3d Visualization Based on Surface Estimation Techniques
نویسنده
چکیده
Three Dimensional (3D) image visualization is one of the important processes that extract information from a given single image. A robust algorithm is proposed to estimate the surface rendering of a single-view image. Firstly, the angiography image is enhanced and then conduct the segmented image into partitioning process in which the image is divided into homogeneous regions using adaptive K-mean algorithm, based on color of gray scale level. The goal of 3D image visualization is to formulate and realize concepts of an efficient architecture for productive use of medical image data. The proposed method is easy to use as well as it can be implemented on various type of angiography images. The obtained results indicate a good resolution of the 3D reconstruction process.
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