Image Comparison Device Scaling Ratio Calculation
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Solution Overview
Problem
Existing image comparison techniques struggle to accurately identify and distinguish between scaled and newly added objects in images, making it difficult to recognize the processed image's origin.
Innovation Solution
An image comparison device processes two images by identifying objects, calculating specific lengths, deduplicating duplicate objects, and calculating ratios to determine a scaling ratio, allowing for accurate comparison and differentiation between scaled and added objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image processing includes adding another image in addition to scaling, then image processing capability is improved, but it becomes difficult to recognize that the processed image is derived from the original image
Solution Approach 1:
The patent introduces an intermediary comparison process that mediates between the original image and the processed image. By comparing specific features (lengths, shapes, patterns) between the two images and calculating similarity ratios, the system identifies and highlights the derived relationship, allowing users to recognize the origin even when additional processing has been applied.
2Reliability
If duplicate objects with the same length are present in images, then image content is preserved, but calculation errors occur in determining scaling ratio
Solution Approach 1:
The patent applies local quality analysis by examining specific characteristics of individual objects (such as length, shape, and pattern) rather than relying solely on global properties. When duplicate objects with the same length are detected, the system analyzes their local features to distinguish between actual duplicates and objects that appear similar but have different characteristics, preventing calculation errors in scaling ratio determination.
3Device complexity
If simple scaling is performed on images, then processing complexity is reduced, but the ability to distinguish between scaled and newly added objects is weakened
Solution Approach 1:
The patent segments the image comparison process into multiple independent analysis steps: identifying objects, measuring specific features (lengths, shapes), comparing features between images, and calculating similarity ratios. This segmentation allows the system to handle complex differentiation tasks through a series of simpler, manageable operations that can be performed sequentially.
Data Source
AI summary
An image comparison device is configured to obtain a first image and a second image, identify multiple first objects and second objects respectively in the first image and the second image, calculate, for each of the first objects, a first specific length that is a length in a predetermined specific direction, calculate, for each of the second objects, a second specific length that is a length in the specific direction, calculate values of a specific variable for all combinations of the first specific lengths and the second specific lengths, each value of the specific variable indicating a ratio between one of the first specific lengths and one of the second specific lengths, and output a most frequently occurring value among the values of the specific variable as a value indicating a scaling ratio of the second image to the first image.