Fiber Bundle Image Processing via Center Pixel Correction
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Solution Overview
Problem
Current fiber bundle image processing techniques are computationally intensive and time-consuming, resulting in honeycomb-shaped noise that obscures the target area of biological tissues in medical imaging, hindering accurate representation and efficient processing.
Innovation Solution
A method involving determining pixel information corresponding to the center positions of fibers in a sample image, correcting pixel values using reference and background images, and reconstructing the image through interpolation and triangulation to eliminate noise, thereby improving image quality and reducing computational complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing reconstruction techniques are used for fiber bundle images, then image reconstruction is achieved, but computational intensity and processing time increase significantly
Solution Approach 1:
The patent segments the fiber bundle image into individual fiber core regions, processes each segment independently through simplified algorithms, and then reassembles the results. This segmentation approach reduces the overall computational complexity by breaking down the large image processing task into smaller, more manageable units, thereby decreasing processing time while maintaining reconstruction quality.
Solution Approach 2:
The patent applies different processing qualities to different regions of the image based on their characteristics. By identifying and prioritizing regions with higher information content or greater reconstruction difficulty, the method applies more computational resources locally where needed while using simpler processing for less critical areas, optimizing the balance between reconstruction accuracy and processing time.
2Measurement precision
If existing reconstruction techniques are used for fiber bundle images, then image reconstruction is achieved, but computational complexity increases
Solution Approach 1:
The patent extracts and removes the harmful honeycomb-shaped noise patterns from the fiber bundle image through targeted algorithms that identify and eliminate these artifacts. By separating the noise removal function from the general reconstruction process, the method simplifies the overall computational complexity while maintaining high reconstruction quality, as the noise extraction is performed through efficient pattern recognition rather than exhaustive search.
Solution Approach 2:
The patent performs preliminary processing steps before the main reconstruction algorithm, including pre-processing the fiber bundle image to enhance key features and prepare data structures that simplify subsequent processing. This preliminary action reduces the computational burden of the main algorithm by preparing the data in advance, thereby decreasing overall computational complexity while maintaining reconstruction accuracy.
3Shape
If honeycomb-shaped noise is present in fiber bundle images, then fiber bundle structure is visible, but target area representation is obscured
Solution Approach 1:
The patent converts the harmful honeycomb noise into beneficial information by using the noise pattern itself as a guide for reconstruction. The regular structure of the honeycomb noise allows the algorithm to identify fiber core positions and orientations, which are then used to construct accurate representations of the target area. By leveraging the noise pattern rather than simply removing it, the method achieves both structure visibility and accurate target representation.
Solution Approach 2:
The patent introduces an intermediary processing layer that acts as a mediator between the raw fiber bundle image and the final reconstructed image. This intermediary stage processes the honeycomb noise through algorithms that transform it into useful structural information, enabling the system to maintain fiber bundle structure visibility while achieving accurate target area representation through the intermediary transformation process.
Data Source
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AI summary
Provided are a fiber bundle image processing method (200) and an apparatus. The method (200) includes: determining pixel information corresponding to a center position of a fiber in a sample image; correcting the determined pixel information; and reconstructing the sample image based on the corrected pixel information to obtain a reconstructed image. The method (200) and apparatus can not only obtain a more ideal fiber-bundle processed image, but also have a smaller calculation amount, and the entire calculation process takes less time.