Scanned Image Correction via Reference Object Deformation
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Solution Overview
Problem
Scanned images are deformed due to mismatched relative movement speed between the image scanning system and the scanned object, affecting detection accuracy.
Innovation Solution
A method and device for correcting scanned images by detecting reference objects, determining their deformation parameters, and applying correction techniques such as pixel interpolation or sampling based on these parameters to restore the image to its standard form.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the image scanning system scans objects at high speed, then productivity is improved, but the scanned images become deformed due to mismatched relative movement speed
Solution Approach 1:
The system performs preliminary actions by detecting reference objects and calculating deformation parameters before final image correction. The method pre-processes the scanned image by identifying reference objects, determining their deformation parameters, and establishing correction mappings before applying the actual correction to the entire image, thus maintaining high scanning speeds while eliminating deformation.
Solution Approach 2:
The patent replaces mechanical speed synchronization with computational correction. Instead of mechanically adjusting scanning speed to match object movement, the system uses image processing algorithms to detect deformation caused by speed mismatch and computationally corrects the scanned images, allowing high-speed scanning without deformation.
2Manufacturing precision
If the scanned image is corrected using multiple reference objects with different deformation parameters, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The correction process is segmented into distinct steps: detecting reference objects, determining deformation parameters for each reference object, dividing the scanned image into multiple regions based on reference object positions, and applying separate correction operations to each region. This segmentation allows accurate handling of different deformation parameters while organizing the complex process into manageable stages.
Solution Approach 2:
The system applies local quality correction by determining that different regions of the scanned image require different correction parameters based on the deformation characteristics of reference objects in those regions. Each region is corrected using the specific deformation parameter of its corresponding reference object, rather than applying a uniform correction to the entire image, thus improving accuracy while managing complexity through localized processing.
Data Source
AI summary
The present disclosure provides a method and device for correcting a scanned image, and an image scanning system, and relates to the field of image scanning. The method includes obtaining a scanned image of a scanned object, detecting one or more reference objects from the scanned image, determining a deformation parameter of each reference object of the one or more reference objects based on preset a standard parameter of the each reference object, and correcting the scanned image based on the deformation parameters of the one or more reference objects.