Mask Image Generation for Tilted 3D Surfaces

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Solution Overview

Problem

Existing inspection methods fail to accurately generate mask images when imaging a three-dimensional curved surface that is tilted, due to unevenness of the surface posture, leading to hidden inspection regions.

Innovation Solution

A method that acquires multiple virtual images by changing the posture of three-dimensional data to specific angles, allowing for accurate mask image generation by extracting and masking non-inspection regions in the virtual images, ensuring no invisible regions are missed, even when the surface is tilted.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a single virtual image is generated based on fixed three-dimensional data posture, then the mask image generation process is simple and fast, but the mask image becomes inaccurate when imaging tilted three-dimensional curved surfaces due to hidden inspection regions

Engineering Contradiction:
Improvemask image accuracyVSAvoidvirtual image acquisition process
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent divides the single virtual image acquisition into multiple segments by generating multiple virtual images at different postures. The three-dimensional data is processed at multiple specific postures to create multiple virtual images, each capturing different portions of the surface. This segmentation allows the inspection system to cover the entire surface including previously hidden regions, resolving the contradiction between simplicity and accuracy.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a new dimension by adding posture variation to the virtual image generation process. Instead of generating a single virtual image at one fixed posture, the system generates multiple virtual images by changing the posture of three-dimensional data across multiple specific orientations. This dimensional expansion from single-point to multi-point coverage enables accurate mask image generation for tilted curved surfaces.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Reliability

If multiple virtual images are generated by changing three-dimensional data posture, then all inspection regions including hidden ones are captured, but the computational time and processing complexity increase

Engineering Contradiction:
Improveinspection completenessVSAvoidmask image generation time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent applies preliminary action by pre-calculating and storing multiple virtual images at different postures before the actual inspection process. The three-dimensional data is processed in advance to generate a library of virtual images corresponding to various postures. During inspection, the system simply retrieves the appropriate pre-generated virtual images rather than computing them in real-time, significantly reducing processing time while maintaining complete inspection coverage.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent uses partial action by generating virtual images at a specific set of predetermined postures rather than continuously varying all possible angles. By selecting key representative postures from the full range of motion, the system achieves sufficient coverage of inspection regions without the excessive computational cost of generating images at every possible angle and posture combination.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS20250022116A1Mask image generation method, inspection method, and inspection apparatus
Publication Date: 2025.01.16 ASTEMO LTD
  • US20250022116A1 patent drawing
  • US20250022116A1 patent drawing
  • US20250022116A1 patent drawing

AI summary

One aspect of the present invention acquires a plurality of virtual images when an imaging target is imaged by a virtual imaging portion while a posture of three-dimensional data is changed to each of a plurality of specific postures.