Image Processing Device Dynamic Display Rate Based on Region of Interest Variation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current image processing methods for sequence images, such as those captured by capsule endoscopes, face challenges in efficiently displaying large numbers of images with varying regions of interest, leading to inefficient observation and diagnosis, particularly in detecting abnormalities within mucosal regions.
Innovation Solution
An image processing device and method that detects regions of interest, divides images into regions based on these detections, calculates inter-image variation, and sets display conditions for each image based on this variation, allowing for optimized display times and decision-making on whether to display images with minimal change.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all sequence images are displayed at a uniform high display rate, then diagnostic completeness is improved, but observation time and workload increase significantly
Solution Approach 1:
The patent changes the display rate parameter dynamically based on image content characteristics. Specifically, it calculates the occupancy rate of regions of interest (such as mucosal regions in medical imaging) and adjusts the display rate accordingly: images with high occupancy rates are displayed at lower rates or skipped, while images with low occupancy rates are displayed at higher rates. This parameter adaptation resolves the contradiction by maintaining diagnostic completeness for important images while reducing observation time for less critical images.
2Reliability
If display rate is increased for images with high region of interest occupancy, then important diagnostic information is preserved, but overall processing efficiency decreases
Solution Approach 1:
The patent applies local quality by treating different images differently based on their specific characteristics. Instead of applying a uniform display rate to all images, it calculates the occupancy rate of regions of interest for each image individually and applies customized display rates. This allows the system to preserve diagnostic information for images with high occupancy rates while maintaining processing efficiency for images with low occupancy rates, thus resolving the contradiction between reliability and productivity.
3Device complexity
If uniform display conditions are applied to all sequence images, then system complexity is reduced, but diagnostic efficiency for varying image content deteriorates
Solution Approach 1:
The patent implements dynamic display conditions that automatically adapt to the content of each image. The system dynamically calculates the occupancy rate of regions of interest for each image and adjusts display rates accordingly. This dynamic approach improves diagnostic efficiency for varying image content while maintaining reasonable system complexity through automated calculation and straightforward implementation logic.
Data Source
AI summary
An image processing device includes a region-of-interest detecting unit that detects a region of interest from each of sequence images acquired in chronological order; a region dividing unit that divides a plurality of images temporally neighboring to each other into regions based on region-of-interest detection results obtained from the plurality of images; an inter-image variation calculating unit that calculates an inter-image variation between the plurality of images based on a variation in each region obtained by the division by the region dividing unit; and a display-condition setting unit that sets a display condition for each image based on the inter-image variation.