Digital Image Anomaly Detection via Color-Coded Difference Highlighting
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Solution Overview
Problem
Current methods for checking the conformity of digital images, such as those used in the aeronautics industry, are inefficient and prone to human error due to the need for manual comparison of complex images, often requiring extensive time to identify differences that may be as small as a single pixel.
Innovation Solution
A device that compares reference and obtained digital images by generating a resultant image where identical pixels appear in shades of grey and differing pixels are highlighted in red and green, enhancing contrast and making differences easily identifiable.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual comparison of two images is performed by an operator, then the method is simple to implement, but the time required increases significantly and human errors occur
Solution Approach 1:
The patent introduces an intermediary processing system that automatically compares the obtained image with the reference image and generates a resultant image highlighting differences. This intermediary device mediates between the two images and the operator, automatically performing the comparison task that would otherwise require manual effort, thus reducing time loss while maintaining ease of implementation through a straightforward processing pipeline.
Solution Approach 2:
The patent replaces the mechanical system of manual visual comparison with an automated image processing system. The device uses computational algorithms to compare pixel data, calculate luminance differences, and generate the resultant image automatically, substituting the operator's manual inspection with an automated mechanical/electronic process that operates faster and without human error.
2Device complexity
If manual comparison of two images is performed by an operator, then the method requires simple equipment, but reliability decreases due to human error
Solution Approach 1:
The patent introduces an intermediary processing system that automatically compares the obtained image with the reference image and generates a resultant image highlighting differences. This intermediary device mediates between the two images and the operator, automatically performing the comparison task that would otherwise require manual effort, thus reducing time loss while maintaining ease of implementation through a straightforward processing pipeline.
Solution Approach 2:
The patent replaces the mechanical system of manual visual comparison with an automated image processing system. The device uses computational algorithms to compare pixel data, calculate luminance differences, and generate the resultant image automatically, substituting the operator's manual inspection with an automated mechanical/electronic process that operates faster and without human error.
3Measurement precision
If the obtained image is strictly compared with the reference image, then measurement precision is high, but the complexity of detecting and measuring differences increases
Solution Approach 1:
The patent applies color changes to highlight differences between images. The processing device assigns specific colors to different types of pixel differences: red for luminance differences, green for color differences, and blue for position differences. This color-coding system transforms the difficult task of detecting subtle differences into an easy visual task where differences stand out clearly through color contrast, maintaining high measurement precision while reducing detection difficulty.
Solution Approach 2:
The patent transforms the two-dimensional image comparison problem into a three-dimensional solution by adding the color dimension. Instead of merely comparing grayscale or color intensity values, the system encodes multiple types of differences (luminance, color, position) into distinct color channels (RGB), allowing the operator to perceive multiple dimensions of difference simultaneously through color perception, thus simplifying the detection process while maintaining precision.
4Ease of operation
If differences between images are highlighted with color coding, then ease of operation improves, but device complexity increases
Solution Approach 1:
The patent applies color changes to highlight differences between images. The processing device assigns specific colors to different types of pixel differences: red for luminance differences, green for color differences, and blue for position differences. This color-coding system transforms the difficult task of detecting subtle differences into an easy visual task where differences stand out clearly through color contrast, maintaining high measurement precision while reducing detection difficulty.
Solution Approach 2:
The patent transforms the two-dimensional image comparison problem into a three-dimensional solution by adding the color dimension. Instead of merely comparing grayscale or color intensity values, the system encodes multiple types of differences (luminance, color, position) into distinct color channels (RGB), allowing the operator to perceive multiple dimensions of difference simultaneously through color perception, thus simplifying the detection process while maintaining precision.
Data Source
AI summary
The device facilitates the verification of conformity between an anticipated digital image, or reference image, and a digital image actually obtained. The device implements a method that makes it possible to quickly and effectively distinguish the differences between a reference image and an obtained image. The device comprises receiving an input of two images, reference and obtained, and producing as output a single image, resulting from the merging of the two input images in which the portions common to both images are represented in shades of grey, the differences between the first and the second image being represented in green or red depending on whether they belong to the first or the second image.