Reaction-Diffusion Image Processing for Multi-Region Extraction
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Solution Overview
Problem
Current image processing techniques face challenges in accurately and efficiently extracting multiple regions from medical images, particularly due to artifacts and uneven contrast, which complicates the diagnosis and numerical simulation processes.
Innovation Solution
An image processing method involving scale conversion and the application of a reaction-diffusion equation, including a diffusion element and a reaction element set according to the number of regions to be extracted, is used to generate pixel values, followed by scale inverse-conversion, allowing for effective region extraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional region extraction methods (threshold, Region Growing, Active Contour, Level Set) are used, then region extraction accuracy can be improved, but processing complexity and time increase significantly when extracting multiple regions
Solution Approach 1:
The patent combines multiple region extraction operations into a single unified process. By applying the reaction-diffusion equation once to the entire image, multiple regions are extracted simultaneously, eliminating the need to repeatedly apply different methods to the same image data for each region type.
Solution Approach 2:
The reaction-diffusion equation serves as a universal method that can extract multiple different types of regions from a single image processing operation. The method is not limited to extracting one specific region type but can identify and separate multiple regions with different characteristics in one go.
2Measurement precision
If multiple processing operations are performed to extract different regions from the same image data, then comprehensive region extraction is achieved, but processing time and workload increase
Solution Approach 1:
Multiple region extraction operations are merged into a single reaction-diffusion processing step. Instead of sequentially applying thresholding, Region Growing, and Active Contour methods to extract different regions, the patent performs all extractions simultaneously through one unified reaction-diffusion operation.
Solution Approach 2:
The reaction-diffusion equation is applied in advance to the entire image to pre-separate all regions before any further processing. This preliminary action creates distinct pixel value ranges for different regions, making subsequent region identification and extraction straightforward and efficient.
3Manufacturing precision
If threshold values are adjusted and re-processing is performed for each region, then fine extraction of each region is achieved, but the number of operations and complexity increase
Solution Approach 1:
The reaction-diffusion equation creates locally optimized pixel value distributions for different regions within the same image. Each region develops its own characteristic pixel value range through the diffusion and reaction processes, allowing precise extraction of each region without needing to adjust global threshold values repeatedly.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method enables efficient extraction of multiple regions, improving accuracy and reducing the complexity of the processing required, even in the presence of artifacts and uneven contrast, by smoothing and separating pixel values effectively.
Implementation Method 1
applying a reaction-diffusion equation including a diffusion element and a reaction element that is set according to at least the number of types of regions to be extracted
Data Source
AI summary
The disclosed method includes: carrying out scale conversion for a first pixel value of each of a plurality of pixels included in an image to generate a second pixel value of the plurality of pixels; applying a reaction-diffusion equation including a diffusion element and a reaction element that is set according to at least the number of types of regions to be extracted, to the second pixel value of each of plural pixels within a certain region of the image a predetermined number of times to generate a third pixel value of each of the plurality of pixels included in the image; and carrying out scale inverse-conversion that is inverse-conversion of the scale conversion, for the third pixel value of each of the plurality of pixels included in the image to generate a fourth pixel value of the plurality of pixels.