Image Processing Apparatus Pose Adjustment for Measurement Efficiency
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Solution Overview
Problem
Existing image processing methods for measuring objects, such as turbine blades in a jet engine, require lengthy processing times due to the need for edge detection and matching between 2D images and 3D models, especially when dealing with multiple projection diagrams.
Innovation Solution
An image processing apparatus and method that adjusts the pose of an image object and reduces processing time by performing geometric calculations based on designated reference points, allowing for efficient matching and measurement without the need for extensive edge detection across multiple projection diagrams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image processing based on edge detection is performed to match 2D images with 3D models, then measurement accuracy is improved, but processing time becomes excessively long
Solution Approach 1:
The patent segments the complex edge detection and matching process into two stages: first, automatic pose adjustment using geometric calculations on reference points; second, simplified matching only in the remaining degrees of freedom. This segmentation avoids full edge detection while maintaining measurement accuracy.
Solution Approach 2:
The system performs preliminary automatic pose adjustment using geometric calculations based on reference points before performing the actual image matching. This preliminary action reduces the search space and eliminates the need for time-consuming edge detection in subsequent matching steps.
2Measurement precision
If multiple subject images are processed individually with CG image matching operations, then measurement completeness is improved, but operation time increases significantly
Solution Approach 1:
The patent creates a single 2D model that can be universally applied to match multiple subject images. The 2D model serves multiple functions: it can match different blades, different views, and different measurement scenarios without requiring separate CG image generation and matching operations for each case.
Solution Approach 2:
The system merges multiple matching operations into a unified process by using a single 2D model for matching multiple subject images. The pose adjustment and matching results from one image can be reused or adapted for other images, combining what would otherwise be separate, time-consuming operations.
3Adaptability or versatility
If projection diagrams are generated and stored for multiple viewpoints, then matching flexibility is improved, but data processing load increases
Solution Approach 1:
The patent extracts only the essential geometric information from multiple viewpoint projections into a unified 2D model. Instead of storing and processing all projection diagrams, the system extracts the critical geometric relationships and reference point configurations that are sufficient for accurate matching, eliminating redundant data.
Data Source
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AI summary
A monitor (22) displays an image of a measurement object and an image of an object which corresponds to the measurement object and has a 3-dimensional (3D) shape which is calculated in advance. A CPU (34c) designates a first point on the image of the measurement object and a second point on the image of the object based on an instruction input through a remote controller (23). The CPU (34c) performs a geometric calculation of a first figure based on the first point and a second figure based on the second point, and adjusts a pose or a position of at least one of the image of the measurement object and the image of the object based on a result of the geometric calculation. The CPU (34c) calculates spatial coordinates on the object corresponding to a measurement position designated based on an instruction input through the remote controller (23) after the pose or the position is adjusted, and calculates a size of the object based on the calculated spatial coordinates.