Capsule Endoscopy Image Display with Divided Area Color Analysis
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Solution Overview
Problem
Existing image display apparatuses struggle to effectively recognize areas of importance, such as bleeding sites, within images captured by capsule endoscopes due to the calculation of average colors across entire image areas, leading to potential oversight during image analysis.
Innovation Solution
An image display apparatus that divides images into predetermined areas, calculates area average colors, and displays these on a time scale, allowing for the detection of feature areas and weighting of color information to enhance the visibility of important features like bleeding sites, thereby improving recognition of imaging conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If average color of the whole image area is calculated, then the calculation process is simple, but it becomes difficult to recognize areas of importance such as bleeding sites
Solution Approach 1:
The image area is divided into multiple divided image areas (e.g., quadrants) instead of calculating the average color of the entire image at once. This segmentation allows the system to calculate area average-colors for each divided region separately, making it possible to detect important features like bleeding sites that may be localized in specific areas while maintaining a manageable calculation process for each segment.
2Measurement precision
If images are divided into multiple areas and area average-colors are calculated, then recognition of important areas is improved, but the calculation complexity increases
Solution Approach 1:
Instead of calculating area average-colors for all divided image areas uniformly, the system selectively calculates and displays area average-colors only for divided areas that contain important features or meet specific criteria. This partial action approach maintains improved recognition of important areas while reducing unnecessary calculations in areas without significant features.
3Loss of information
If area average-colors of all divided image areas are displayed, then detailed information is provided, but the display becomes cluttered and harder to interpret
Solution Approach 1:
The system extracts and displays area average-colors selectively rather than displaying all divided image area colors simultaneously. By taking out only the relevant area average-colors that contain meaningful information about important features, the display remains clear and interpretable while still providing detailed information about critical areas.
Solution Approach 2:
Different display treatments are applied to different divided image areas based on their content. Areas containing important features receive special display attention (such as highlighting or separate display), while areas without significant features are displayed differently or omitted, creating a display with varying local qualities that enhances overall interpretability.
Data Source
AI summary
An image display apparatus 4 includes a control unit 15 having an image display controller 15a and an image processing controller 15b to enable an easy recognition of a condition and the like of an imaging target with respect to respective image areas at each imaging point. The image display controller 15a controls to display a time scale indicating an imaging period of a series of intra-subject images, to divide a display area of each time point on the time scale so as to be associated with divided image areas, and to display average colors of divided image areas respectively in divided scale areas separated as a result of the division, the divided scale areas and the divided image areas being associated with each other, respectively. The image processing controller 15b obtains image data stored in the portable recording medium 5 or the storage unit 14 to output to an image processor 13, and controls various image processes on the output image.