Optical Component Measurement Noise Suppression via Dynamic Positioning
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Solution Overview
Problem
Current measurement devices for optical components face challenges in achieving high accuracy, particularly in measuring characteristics like refractive index and stress, due to limitations in data acquisition and noise suppression, especially when dealing with small movement distances.
Innovation Solution
The implementation of a processing device and measurement method that acquires and processes multiple sets of image data by modifying the relative position between a background image and an object member, using a processor to derive accurate data based on these images, which includes controlling the position of a background image, object member, and imager to capture data at different relative positions, thereby reducing noise and enhancing measurement accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sets of image data are acquired by modifying relative positions, then measurement accuracy is improved, but device complexity increases
Solution Approach 1:
The patent makes the measurement system dynamic by allowing modification of the relative position between the background image and object member through moving either the background image or the object member. This dynamic positioning enables acquisition of multiple image datasets at different relative positions, which improves measurement accuracy through noise suppression while maintaining operational simplicity.
Solution Approach 2:
The patent creates multiple copies of image data by capturing images at different relative positions between the background image and object member. These multiple image copies are then processed to derive accurate measurement data, effectively using redundancy to improve precision without requiring complex hardware modifications.
2Measurement precision
If multiple image data are processed to suppress noise, then measurement accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary actions by acquiring multiple sets of image data at different relative positions before the final measurement calculation. This preliminary data acquisition at varied positions enables subsequent noise suppression processing to be more effective, as the diverse datasets provide redundant information that can be processed to eliminate noise while maintaining efficiency.
Data Source
AI summary
According to one embodiment, a processing device includes an acquisition part, and a processor. The acquisition part and the processor are configured to perform a first operation. The acquisition part is configured to acquire first image data, second image data, and third image data in the first operation. The first image data includes data related to a first object member image of an object member transmitting a first light. The second image data includes data related to a second object member image of the object member transmitting a second light. The third image data includes data related to a third object member image of the object member transmitting a third light. The processor is configured to derive first derived data based on the first, second, and third image data in the first operation.