Image Measurement Device Illumination Selection for Edge Extraction
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Solution Overview
Problem
Conventional image measurement devices require expertise to select and adjust illumination types and positions, especially for epi-illumination, leading to unstable dimension measurements due to erroneous extraction of textures as edges, limiting their use by non-skilled operators.
Innovation Solution
An image measurement device that automatically adjusts illumination conditions by allowing users to select from multiple workpiece images taken under different conditions, enabling non-skilled personnel to set optimal illumination for specific measurement targets, using a combination of diffused, transmittance, and side-emitting illumination devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If epi-illumination is used to measure non-through holes, steps, and roughness, then measurement capability is improved, but texture on workpiece surface is erroneously extracted as edge, reducing measurement stability
Solution Approach 1:
The system dynamically switches between multiple illumination types (epi-illumination, transmittance illumination, diffused illumination) based on the measurement target. The illumination selection unit chooses the appropriate illumination type according to whether the target is a through hole, non-through hole, step, or roughness feature, allowing the system to adapt illumination conditions to specific measurement requirements while avoiding texture interference.
Solution Approach 2:
The system changes illumination parameters by switching between different illumination types and adjusting illumination positions. The illumination position adjustment unit modifies the irradiation position within a predetermined range to optimize lighting conditions for each measurement target type, thereby improving measurement stability while maintaining measurement capability.
2Measurement precision
If multiple illumination types and positions are used to avoid texture interference, then measurement stability is improved, but device complexity and operation difficulty increase
Solution Approach 1:
The system performs self-adjustment of illumination conditions through automated control. The illumination selection unit automatically chooses the appropriate illumination type and the illumination position adjustment unit automatically adjusts the irradiation position based on the measurement target, eliminating the need for manual adjustment by skilled operators and reducing operational complexity.
Solution Approach 2:
The illumination device is designed with multi-functionality to handle various measurement scenarios. It incorporates multiple illumination types (epi-illumination, transmittance illumination, diffused illumination) and an illumination position adjustment mechanism that can adapt to different workpiece types and measurement targets, allowing a single device to perform multiple measurement functions without requiring separate specialized equipment.
3Measurement precision
If illumination conditions are manually adjusted by skilled persons, then measurement accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs self-adjustment of illumination conditions through automated control. The illumination selection unit automatically chooses the appropriate illumination type and the illumination position adjustment unit automatically adjusts the irradiation position based on the measurement target, eliminating the need for manual adjustment by skilled operators and reducing operational complexity.
Solution Approach 2:
The system uses feedback from image analysis to automatically adjust illumination conditions. The image analysis unit analyzes the workpiece image to identify the measurement target type, and this information feeds back to the illumination selection unit and illumination position adjustment unit, which then automatically configure the appropriate illumination conditions, creating a closed-loop control system that maintains measurement accuracy while improving ease of operation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables stable and accurate dimension measurements by automatically selecting suitable illumination conditions for each measurement target, reducing errors and requiring minimal expertise, thus improving usability and measurement precision.
Implementation Method 1
irradiating the workpiece on the stage with illumination light
Implementation Method 2
photographing the workpiece on the stage to generate a workpiece image
Implementation Method 3
transmittance illumination for irradiating the workpiece on the stage with illumination light from the opposite side to a camera
Data Source
AI summary
The image measurement device includes: a measurement target place specifying part that specifies a measurement target place on a workpiece image based on a user's operation; an illumination condition storage part that holds two or more illumination conditions; an imaging control part that controls a camera and an illumination device to acquire two or more of the workpiece images sequentially photographed while making the illumination condition different; a workpiece image display part that displays the acquired plurality of workpiece images; a workpiece image selecting part that selects any one of the displayed workpiece images; an illumination condition deciding part that decides the illumination condition based on the selected workpiece image; and a dimension calculating part that extracts an edge of the measurement target place based on the workpiece image photographed on the decided illumination condition, and obtains a dimension of the measurement target place based on the extracted edge.