3D Intelligent Scissors for Dental Mesh Segmentation
نویسندگان
چکیده
منابع مشابه
Interactive Segmentation with Intelligent Scissors
We present a new, interactive tool called Intelligent Scissors which we use for image segmentation. Fully automated segmentation is an unsolved problem, while manual tracing is inaccurate and laboriously unacceptable. However, Intelligent Scissors allow objects within digital images to be extracted quickly and accurately using simple gesture motions with a mouse. When the gestured mouse positio...
متن کاملIntelligent Scissors for Medical Image Segmentation
Recently a new method for interactive image seg-mentation called Intelligent Scissors has been proposed by Mortensen and Barrett. Based on optimal path searching in a graph network, the method has a number of advantages over previous approaches. It is fast, robust, and very intuitively to use. Originally designed as a general-purpose tool for image manipulation , we have applied the method for ...
متن کاملSegmentation of Abnormal Region from Endoscopic Images using Intelligent Scissors
The commonly found abnormalities in endoscopic images are cancer tumors, ulcers, bleeding due to internal injuries, etc. Several methods of segmentation are employed in recent past for proper segmentation of such images. Intelligent scissors is one of the tools for segmentation. Here the segmentation of endoscopic images is presented using the intelligent scissors. This method is used to segmen...
متن کاملTrail-Dependent Intelligent Scissors Based on Multi-Scale Image Segmentation
Image segmentation is a very important topic in computer vision. However, due to the large variation of image content, fully automatic image segmentation for general applications is still an open problem. Therefore, our goal is to develop an interactive image segmentation tool that can accurately extract the desired object boundaries with minimal human efforts. In this paper, we propose a new t...
متن کامل3D Mesh Segmentation Methodologies for CAD applications
3D mesh segmentation is a fundamental process for Digital Shape Reconstruction in a variety of applications including Reverse Engineering, Medical Imaging, etc. It is used to provide a high level representation of the raw 3D data which is required for CAD, CAM and CAE. In this paper, we present an exhaustive overview of 3D mesh segmentation methodologies examining their suitability for CAD mode...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computational and Mathematical Methods in Medicine
سال: 2020
ISSN: 1748-670X,1748-6718
DOI: 10.1155/2020/1394231