Image Correction via Inverse Processing for Analysis Accuracy
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Solution Overview
Problem
Image analysis accuracy is compromised when processed images are analyzed without adaptation to their specific processing conditions, leading to misinterpretation of anatomical structures or edges as diseased parts.
Innovation Solution
An image processing system that retrieves and corrects image processing information to revert processed images to their pre-processing state, ensuring optimal analysis by executing image analysis on the corrected image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If image processing (gradation processing or frequency processing) is applied to enhance anatomical structures or edges, then the readability and visual quality of the image is improved, but the image analysis accuracy deteriorates because the processed image properties no longer match the optimized analysis conditions
Solution Approach 1:
The system performs preliminary detection of image processing history before analysis, and pre-processes the image by applying inverse transformation to revert it to its pre-processing state. This preliminary action ensures the image is in the optimal condition for analysis before the actual analysis occurs, preventing the accuracy deterioration that would otherwise result from analyzing processed images directly.
Solution Approach 2:
The system applies inverse transformation to processed images to revert them to their pre-processing state. Instead of adapting the analysis to match the processed image properties, the invention inverts the processing by applying reverse operations (e.g., inverse gradation processing, inverse frequency processing) to restore the image to its original properties that are optimal for analysis.
2Productivity
If processed images are stored and reused in the image database, then the efficiency of subsequent image retrieval and analysis is improved, but the reliability of analysis results deteriorates when these processed images are analyzed without correction
Solution Approach 1:
The system incorporates feedback by detecting the processing history information attached to stored images and using this information to determine appropriate correction actions. The feedback loop ensures that whenever a processed image is retrieved from the database, the system automatically applies the necessary inverse transformation based on the detected processing history, thereby maintaining analysis reliability while preserving the efficiency benefits of image reuse.
Solution Approach 2:
The system uses processing history information as an intermediary between the stored processed image and the analysis process. This intermediary contains the necessary metadata about what processing was applied, enabling the system to automatically determine and apply the appropriate inverse transformation, thus bridging the gap between the processed image state and the required analysis-optimized state.
3Measurement precision
If image analysis is optimized for unprocessed images with specific properties, then the analysis performance on unprocessed images is improved, but the adaptability to processed images deteriorates
Solution Approach 1:
The system achieves universality by combining the fixed optimized analysis algorithm with a dynamic image correction component. The analysis algorithm itself remains optimized for unprocessed images, but the system becomes multi-functional by automatically detecting whether an input image is processed or unprocessed and applying appropriate inverse transformations. This allows the same analysis system to handle both unprocessed images (with optimal performance) and processed images (by converting them to unprocessed state first).
Data Source
AI summary
Image analysis is executed by the use of an image representing an object. The image has image processing information, on image processing which the image has undergone, attached to the image. The image processing information attached to the image is obtained from the image and the image is corrected on the basis of the image processing information so that the image approaches to an image optimal to the image analysis. The image analysis is executed by the use of the corrected image.