Frequency Component Image Processing for Radiographic Edge Emphasis
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Solution Overview
Problem
Existing image processing techniques for radiographic images face challenges in selectively emphasizing edge components while suppressing noise, as constant gain adjustment methods inadvertently emphasize noise components along with edges, leading to suboptimal diagnostic performance.
Innovation Solution
An image processing apparatus that generates frequency component images, detects edge information using methods like moment operators, and adjusts gain coefficients to selectively apply emphasis or suppression only to edge components, thereby reducing noise impact and enhancing diagnostic clarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If constant gain coefficient is applied to all frequency components, then edge components are emphasized, but noise components are also emphasized
Solution Approach 1:
The patent applies different gain coefficients to different frequency bands. Specifically, it generates multiple band-limited images with different frequency responses, detects edges in each band, and applies gain adjustment selectively based on the frequency characteristics of each band. This local differentiation allows edge components to be emphasized while noise components in other frequency bands are not amplified, resolving the contradiction between edge emphasis and noise suppression.
2Adaptability or versatility
If gain adjustment is applied to all frequency bands, then frequency emphasis is achieved, but diagnostic performance deteriorates due to noise
Solution Approach 1:
The patent segments the frequency spectrum into multiple bands by generating several band-limited images from the original image. Each band-limited image captures a specific frequency range. By processing each frequency band separately with appropriate gain coefficients and combining the results, the system achieves versatile frequency emphasis capability while maintaining diagnostic reliability through selective noise suppression in each band.
Data Source
AI summary
An image processing apparatus includes a frequency component generation unit, a coefficient acquisition unit, a detection unit, a gain adjustment unit, and a processed image generation unit. The frequency component generation unit is configured to generate a plurality of frequency component images based on an original image. The coefficient acquisition unit is configured to acquire a gain coefficient for gain correction. The detection unit is configured to detect edge information based on the gain coefficient. The gain adjustment unit is configured to adjust a gain of at least one of the plurality of frequency component images based on the gain coefficient and the edge information. The processed image generation unit is configured to generate a processed image based on at least one of the plurality of frequency component images with the gain adjusted by the gain adjustment unit.