Residual filtering method aiming at projected fringe image
A fringe image and residual technology, applied in the field of computer vision, can solve problems such as many judgment conditions, difficulty in correct positioning of residuals, inability to completely preserve fringe boundaries, etc., to improve speed and accuracy, and eliminate limitations
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0045] In the technical field of computer vision, the technical term residual has a well-known meaning, and for the completeness of this application document, it will be described in detail here. which is defined as Figure 4 As shown, after performing the calculation of formulas (1)-(3) on the adjacent closed-loop four neighborhoods in the wrapped phase map, if Δ(i, j)≠0 in formula (1), we define the point (i, j ), (i+1, j), (i+1, j+1) and (i, j+1) constitute a "residual". When Δ(i, j)=1, the closed-loop four-neighborhood is called “positive residual”; when Δ(i, j)=-1, the closed-loop four-neighborhood is called “negative residual”; when Δ(i, j )=0, the closed-loop four-neighborhood is not a residual, Figure 4 (b), (c) and (d) denote positive, negative and non-residuals, respectively. In addition, a plurality of residuals that are connected or adjacent constitute a "residual area". The invention analyzes the geometric characteristics of the residual caused by the noise. ...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com