Image Processing Device Projection Conversion for Instrument Recognition
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Solution Overview
Problem
There is a need for a technique to recognize the state of objects, such as instruments, with higher accuracy using captured images, as existing methods are not sufficient for precise identification.
Innovation Solution
An image processing device and method that performs projection conversion to align captured images with a normal image perspective by correlating pre-specified feature ranges within the object's range and designated feature ranges based on image dispersion, using a two-dimensional code and projective transformation matrices to correct distortions and enhance recognition accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If projection conversion is performed using pre-specified feature ranges and designated feature ranges based on image dispersion, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-specifying multiple feature ranges within the object's range before image processing. These pre-specified feature ranges are stored and ready for use, eliminating the need to calculate them during real-time processing. When an image is captured, the system simply designates corresponding feature ranges based on image dispersion and matches them with the pre-specified ranges through projection conversion, significantly reducing processing complexity while maintaining high measurement precision.
2Measurement precision
If multiple feature ranges are used for projection conversion, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent resolves the time consumption issue by performing the computationally intensive feature range specification in advance and storing the results. During actual image processing, the system only needs to perform lightweight operations: designate feature ranges based on simple image dispersion calculations and perform projection conversion using the pre-computed reference data. This eliminates the need for real-time complex feature analysis, maintaining high precision while minimizing processing time.
Data Source
AI summary
An image processing device performs projection conversion that makes an image captured of an object to be recognized closer to a normal image captured from front of the object to be recognized based on a correlation between: a pre-specified plurality of feature ranges dispersed within a range of the object to be recognized; and a plurality of feature ranges designated based on the dispersion in the image.