Ortho-image Spatial Resolution Calculation for Crack Detection
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Solution Overview
Problem
Existing image processing technologies fail to accurately calculate spatial resolution in real space for ortho-images, making it difficult to identify cracks and defects on surfaces like road surfaces, as they lack the ability to determine distance corresponding to real space positions on ortho-images.
Innovation Solution
An image processing device and method that acquires and processes images by generating ortho-images with different spatial resolutions based on calculated distances in real space, allowing for precise crack detection by determining pixel values and distances in specific image areas, enabling accurate inspection and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image processing is used to generate ortho-images, then the overall image structure is maintained, but the spatial resolution at different positions cannot be accurately calculated
Solution Approach 1:
The patent divides the ortho-image into multiple image areas (first image area, second image area, etc.) corresponding to different positions on the object. Each area is processed independently to calculate its specific spatial resolution, allowing accurate measurement at different locations without requiring the entire image to be uniformly processed.
Solution Approach 2:
The patent applies different processing methods and resolution calculations to different regions of the ortho-image based on their specific characteristics and positions. Each image area receives tailored processing to achieve optimal spatial resolution for its location, rather than applying a uniform approach across the entire image.
2Reliability
If uniform spatial resolution is assumed across the ortho-image, then processing is simplified, but crack detection accuracy deteriorates
Solution Approach 1:
The patent dynamically adjusts the spatial resolution calculation based on the position and characteristics of different image areas. The system adapts its processing parameters for each region, allowing high-accuracy crack detection in areas where it is most needed while maintaining operational flexibility through automated adjustment rather than manual intervention.
3Reliability
If distance information is not calculated for each position, then processing time is reduced, but inspection reliability decreases
Solution Approach 1:
The patent performs preliminary calculations of distance and spatial resolution for each image area during the image generation process. By pre-calculating these parameters and storing them as metadata, the system enables reliable inspection without requiring time-consuming real-time calculations during the actual crack detection phase.
Data Source
AI summary
An image processing device includes an acquisitor and a processor. The acquisitor acquires information including a first image of an object and a first relationship. The first image includes first and second image areas. The first image area corresponds to a first position of a first part of the object and has a first pixel value. The second image area corresponds to a second position of a second part of the object and has a second pixel value. The processor performs generating a first generated image including a third and a fourth image areas corresponding to the first and the second positions, determining a third pixel value of the third image area and a fourth pixel value of the fourth image area, and calculating a first distance corresponding to a length of the third image area and a second distance corresponding to a length of the fourth image area.