Image Measurement Device Defocus Reliability Selection
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Solution Overview
Problem
Existing image measurement devices face accuracy degradation when calculating depth direction lengths due to increased defocus, as blurred images impair the symmetry of image signals with parallax, requiring multiple images captured at varying focus positions to achieve accurate measurements.
Innovation Solution
An image processing device acquires multiple images at different focus positions and viewpoints, determines reliability for each image, and selects the most accurate distance information to calculate precise ranging values, enhancing measurement accuracy by evaluating defocus and image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple images are captured at different focus positions to improve measurement accuracy in areas with large defocus, then measurement precision is improved, but device complexity and measurement time increase
Solution Approach 1:
The patent replaces the mechanical approach of capturing multiple images at different focus positions with an information processing approach. By calculating a synthesis evaluation value based on defocus amount and using this to select the most appropriate single image for measurement, the system avoids the complexity of multi-image capture while maintaining measurement accuracy. The processor substitutes for the mechanical focusing mechanism by computationally determining the optimal focus position.
2Measurement precision
If multiple images are captured at different focus positions to improve measurement accuracy, then measurement precision is improved, but measurement time increases
Solution Approach 1:
The patent extracts only the necessary information from the captured images by calculating defocus amounts and synthesis evaluation values to determine the single most appropriate image for measurement. Instead of processing multiple images, the system extracts the optimal one based on quantitative evaluation, significantly reducing measurement time while maintaining accuracy. This extraction principle allows the system to ignore unnecessary images and focus only on the most suitable data.
3Adaptability or versatility
If defocus amount is increased to capture images at different focus positions, then ranging coverage is improved, but image quality and symmetry deteriorate
Solution Approach 1:
The patent employs feedback by calculating the defocus amount for each captured image and using this information to evaluate image quality through a synthesis evaluation value. This feedback mechanism allows the system to objectively assess which image maintains the best symmetry and quality, then select that image for measurement. The feedback loop ensures that despite varying focus positions, the system always chooses the image with optimal characteristics for accurate ranging.
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
This approach enables more accurate and reliable depth direction length calculations by selecting the best image data based on reliability, reducing measurement errors caused by defocus and improving overall measurement precision.
Implementation Method 1
a pupil division imaging method for dividing a light beam from a subject passing through different pupil partial areas of an imaging optical system to generate a plurality of image data having parallax in one imaging unit
Implementation Method 2
a stereo camera that captures a stereoscopic image can image the same subject at the same time using two imaging units and acquire two types of images having parallax
Data Source
AI summary
An image measurement device is provided that includes at least one processor and at least one memory functioning as: a first acquisition unit that acquires a plurality of image data captured at a plurality of focus positions and at different viewpoints; a second acquisition unit that acquires distance information corresponding to each of the plurality of image data on the basis of the image data at different viewpoints at each focus position; a designation unit that designates a ranging point; a determination unit that determines reliability corresponding to the ranging point in each of the plurality of image data; and a selection unit that selects the distance information used as the distance information of the ranging point from the distance information acquired by the second acquisition unit on the basis of the reliability determined by the determination unit.