Surface Texture Imaging With Light-Source Scan Collation

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Solution Overview

Problem

Existing techniques for generating image data expressing the texture of an object's surface require multiple scans when the object's position changes, leading to reduced reproducibility and increased scanning times.

Innovation Solution

An information processing apparatus that combines image data from multiple scans using different light sources only when the collation results fall within an allowable range, reducing the need for additional scans by collating and combining image data effectively.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If scanning is performed two times using different light sources to generate texture image data, then the texture expression capability is improved, but the scanning time increases

Engineering Contradiction:
Improvetexture expression capabilityVSAvoidscanning time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary collation of image data from different light sources before final combination. By checking position consistency and collation results in advance, the system determines whether two-time scanning data can be combined, avoiding unnecessary re-scanning and reducing total scanning time while maintaining texture expression quality

Inventive Principle:
Principle #10Preliminary action

2Adaptability or versatility

If the object position is changed between two times of scanning, then the scanning flexibility is improved, but the reproducibility of texture expression is degraded

Engineering Contradiction:
Improvescanning flexibilityVSAvoidreproducibility of texture
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The system implements a feedback mechanism through collation processing. After scanning with different light sources, the system collates the image data to check position consistency. Based on the collation result, it determines whether to combine the data or perform re-scanning, thereby maintaining texture reproducibility even when object position changes occur during scanning

Inventive Principle:
Principle #23Feedback

3Reliability

If two times of scanning are restarted when position consistency is not met, then the texture reproducibility is maintained, but the scanning efficiency is reduced

Engineering Contradiction:
Improvetexture reproducibilityVSAvoidscanning efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system performs preliminary collation and position consistency checks before final image combination. By evaluating the collation result in advance, it determines whether re-scanning is necessary, thereby maintaining texture reproducibility only when needed and avoiding unnecessary scanning restarts that would reduce efficiency

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS12444096B2Information processing apparatus and non-transitory computer readable medium storing program
Publication Date: 2025.10.14 FUJIFILM BUSINESS INNOVATION CORP
  • US12444096B2 patent drawing
  • US12444096B2 patent drawing
  • US12444096B2 patent drawing

AI summary

An information processing apparatus includes a processor configured to acquire a plural pieces of image data generated by scanning a surface of an object at least two times while changing a light source, in a case where a result of collation of first image data generated by first scanning using a first light source with second image data generated by second scanning using a second light source different from the first light source is included within an allowable range, combine the first image data and the second image data, and in a case where the result of collation of the first image data with the second image data is not included within the allowable range, collate third image data generated by third scanning performed using the first light source with the second image data, and in a case where a result of the collation is included within the allowable range, combine the second image data and the third image data.