Coordinate Measuring Machine Image Fusion with Perspective Correction
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Solution Overview
Problem
Coordinate measuring machines and microscopes face challenges in simultaneously representing object images and overview images without perspective distortion, making it difficult for observers to capture image content effectively during planning, control, and monitoring operations.
Innovation Solution
Combining two-dimensional object images with perspectively distorted overview images and scaling the image information to ensure at least one dimension of the object is the same in both images, allowing for a unified and undistorted output image representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a second image generating device is added to capture overview images, then the ability to capture both object and overview images is improved, but the device complexity increases
Solution Approach 1:
The second image generating device is designed to serve multiple functions: capturing overview images before measurement, capturing images during measurement processes, and capturing images after measurement. This multi-functional design allows a single additional device to handle various imaging needs throughout the measurement workflow, improving versatility while minimizing the increase in device complexity.
Solution Approach 2:
The imaging system is segmented into two specialized image generating devices: the first for detailed object images and the second for overview images. This segmentation allows each device to be optimized for its specific function, with the second device specifically designed to capture broader spatial contexts without the complexity constraints of the first device.
2Area of stationary object
If overview images are captured with perspective distortion, then the field of view is expanded, but the image accuracy deteriorates
Solution Approach 1:
The system applies different quality requirements to different image types: overview images capture a broader area with acceptable perspective distortion for contextual information, while object images maintain high precision for measurement. This local quality approach allows the overview image to serve its purpose of providing spatial context without requiring the same level of geometric accuracy as measurement-critical object images.
Solution Approach 2:
The overview image acts as an intermediary between the measurement system and the observer, providing contextual spatial information that helps in planning and monitoring. While not suitable for direct measurement due to perspective distortion, it serves as a useful intermediate representation that guides the measurement process and provides overall context.
3Loss of information
If object images and overview images are displayed separately, then the image clarity is maintained, but the operational efficiency decreases
Solution Approach 1:
The system merges the object image and overview image into a single composite output image that displays both simultaneously. The object image is positioned and scaled within the overview image context, allowing operators to view both detailed measurement information and broader spatial context in one unified display, thereby improving operational efficiency without sacrificing the clarity of either image type.
Data Source
AI summary
A method includes generating image signals from which a two-dimensional image is generated. The method includes generating object image signals by capturing an examination object arranged in a space. The method includes generating overview image signals by capturing an overview of the space. The method includes receiving image information included in the generated object image signals and the generated overview image signals. The method includes combining a two-dimensional object image, generated from the object image signals, with a two-dimensional perspectively distorted overview image of the space, generated from the overview image signals, to form a two-dimensional output image. The method includes scaling the received image information with respect to an image size for forming the output image in a manner such that at least one dimension of the examination object captured both in the object image and in the overview image has a same size in the output image.