Abstract
The following article presents a combination of image processing and computer graphics methods which form an algorithm for 3D surface reconstruction of inner organs imaged using Computed Tomography. The presented method uses k-means clustering and Hu moments to filter desired contours from a large number detected in CT frames. Least- squares B-spline fitting is used to approximate the filtered contours and finally a B-spline surface is used to approximate the surface of the organ. The algorithm has been tested on several datasets, requires almost no human attention and creates high-quality surfaces in a versatile format that can be used in further applications.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
