Howtosignalprocessing
- What is 3D segmentation?
- What is CT segmentation?
- What is 3D semantic segmentation?
- What is point cloud segmentation?
What is 3D segmentation?
With 3D image segmentation, data acquired from 3D imaging modalities such as Computed Tomography (CT), Micro-Computed Tomography (micro-CT or X-ray) or Magnetic Resonance Imaging (MRI) scanners is labelled to isolate regions of interest.
What is CT segmentation?
CT image segmentation is a typical phase of orthopedic surgeries in which a visualization system is called to visually support the surgeon's task. This system provides a real time view of the surgery environment, as well as information coming from the pre-op planning and from the CT.
What is 3D semantic segmentation?
3D semantic image segmentation is being used to extract and interpret data in a variety of areas. Autonomous vehicles – 3D semantic image segmentation is used to help cars understand the scene they are in. For example, the segmentation algorithm can identify curbs, sidewalks, and other objects the car should avoid.
What is point cloud segmentation?
--------- 3D point cloud segmentation is the process of classifying point clouds into multiple homogeneous regions, the points in the same region will have the same properties. The segmentation is challenging because of high redundancy, uneven sampling density, and lack explicit structure of point cloud data.
