Pixel Analysis Image Transformation for Ignored Area Handling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Image analysis processes, such as those involving satellite or medical images, face challenges when dealing with ignored areas, as they can influence analysis and complicate the process, making it difficult to obtain accurate results and maintain system complexity.
Innovation Solution
An image processing device and method that transforms images with ignored areas into intermediate images with no influence on analysis by replacing pixels in the ignored areas with alternate information, using a corresponding pixel computation unit to compute coordinates and values based on symmetrical pixels, thereby reducing the impact of ignored areas on spatial analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image data containing ignored areas is directly subjected to spatial analysis, then the analysis process becomes complex and ignored areas influence the analysis results, but if the ignored areas are manually excluded or masked, then the process complexity increases and requires additional preprocessing steps
Solution Approach 1:
The patent applies preliminary action by performing coordinate transformation and identifying corresponding pixels in valid areas before the spatial analysis process. The system pre-calculates replacement coordinates and stores mapping relationships, so that when analysis is performed, the ignored areas are automatically replaced with valid pixel data from corresponding locations, eliminating the need for manual masking or exclusion during the analysis process itself
Solution Approach 2:
The patent introduces an intermediary mechanism through the coordinate transformation unit and pixel correspondence database. This intermediary system acts as a bridge between ignored areas and valid image data, automatically finding and mapping corresponding pixels from valid areas to replace ignored area pixels during analysis, thereby simplifying the overall process while maintaining accuracy
2Ease of manufacture
If the ignored area is replaced with constant values (e.g., zero), then the data structure remains simple, but the analysis results are influenced by these artificial values and become inaccurate
Solution Approach 1:
The patent applies the copying principle by creating a mapping relationship between ignored area pixels and their corresponding valid pixels. Instead of using constant values or artificial data, the system copies actual pixel data from corresponding locations in the valid image area, ensuring that the replacement data reflects real image information rather than artificial constants, thereby maintaining analysis accuracy while preserving data structure simplicity
3Measurement precision
If manual visual check by experts is used for image analysis, then accurate results can be obtained, but the cost and time requirements become extremely high
Solution Approach 1:
The patent applies self-service by implementing an automated system that performs the image analysis function previously requiring expert visual inspection. The coordinate transformation unit and pixel correspondence database enable the system to automatically identify, replace, and analyze image data with the same accuracy that experts could achieve, eliminating the need for manual review while maintaining high precision results
Solution Approach 2:
The patent replaces the mechanical system of manual expert visual inspection with an automated computational system. By using coordinate transformation algorithms and automated pixel mapping, the system substitutes human expert analysis with machine-based processing that achieves comparable or superior accuracy while dramatically reducing time and cost requirements
Data Source
AI summary
Provided is an image processing device including a corresponding pixel computation unit configured to, with respect to image data containing an image data area and an ignored area, replace a pixel in the ignored area having influence on a spatial analysis process with a pixel having no influence on the spatial analysis process.