Morphological graphic processing-based point cloud data smoothing method

A technology based on morphology and point cloud data, applied in image data processing, image enhancement, image analysis, etc., can solve problems such as inability to fill data, lack of accurate expansion of local areas, etc., to improve algorithm efficiency, smooth surface, and time complexity small effect

Pending Publication Date: 2019-11-15
TIANJIN UNIV
View PDF3 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology allows for efficient use of computerized techniques by applying different methods specifically designed into specific areas within images or scenes. These improvements help improve accuracy and reduce errors caused during analysis due to factors like environmental conditions (temperature) changes overtime.

Problems solved by technology

This patented technical solution described in the patents involves capturing three dimensional information from a large amount of space with different types of equipment like LIDAR systems. These techniques involve analyzing multiple images taken at varying locations around a specific area while also smoothing out any unevennesses along their edges before creation of models based on them. Additionally, there may exist issues related to incomplete shape analysis due to imperfections caused during processing when adding extra measurements.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Morphological graphic processing-based point cloud data smoothing method
  • Morphological graphic processing-based point cloud data smoothing method
  • Morphological graphic processing-based point cloud data smoothing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0029] Such as figure 1 As shown, a kind of lidar point cloud data smoothing method based on octree algorithm of the present invention comprises the following steps:

[0030] Voxelize the input point cloud data based on the octree algorithm;

[0031] On the basis of voxelized point cloud data, traversal extracts boundary voxels, and selects point sets of surface and corner points as candidate feature points for smoothing;

[0032] The 3D morphological operator is used to open and close the candidate feature points, so as to achieve smoothing, denoising and surface restoration of point cloud data.

[0033] Among them, an Octree is a tree-like data structure used to describe a three-...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a morphological graphic processing-based point cloud data smoothing method. The method comprises the steps of performing voxelization on point cloud data based on an octree algorithm; traversing and extracting boundary voxels on the basis of the voxelized point cloud data, and selecting a point set of surface and corner points as candidate feature points for smoothing; andopening operation and closing operation are performed on the candidate feature points by using a three-dimensional morphological operator, so that smoothing, denoising and surface repairing of the point cloud data are realized. Smoothing, denoising and surface repairing effects on the point cloud data can be achieved.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Owner TIANJIN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap