Image Processing Apparatus Prioritizing Interest-Based Image Groups
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Solution Overview
Problem
Conventional capsule type endoscope systems process image data from multiple receiving devices sequentially, leading to inefficiencies in prioritizing and processing images of interest, which can delay diagnosis and treatment, especially when multiple subjects are being examined simultaneously.
Innovation Solution
An image processing apparatus that compares the number of images of interest across multiple image groups and determines processing priority based on this comparison, allowing for preferential processing and transmission of image groups with higher interest values, such as images indicating hemorrhage or lesions, to facilitate early diagnosis and treatment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If image data from multiple receiving devices is processed sequentially in the order of connection, then the processing order is simple to manage, but the diagnosis time is delayed when multiple subjects are examined simultaneously
Solution Approach 1:
The system changes the parameter of processing priority from fixed (connection order) to variable (based on number of images of interest). The image processing apparatus dynamically adjusts processing sequence by comparing image interest counts, allowing critical cases to be prioritized without complex manual intervention
Solution Approach 2:
The system implements feedback by having receiving devices transmit the number of images of interest to the image processing apparatus. This feedback mechanism enables automatic priority determination, where the apparatus uses the transmitted count information to dynamically adjust processing order, reducing diagnosis time for critical cases
2Productivity
If all image groups are processed in equal priority order, then processing is systematic and simple, but critical images indicating hemorrhage or lesions may be delayed
Solution Approach 1:
The system applies local quality by differentiating processing priority based on local characteristics of each image group (number of images of interest). Instead of uniform processing, each image group receives treatment appropriate to its clinical significance, with groups containing hemorrhage or lesion images processed preferentially
Solution Approach 2:
The system changes the processing parameter from equal priority to differential priority based on image interest counts. By comparing the number of images of interest across multiple receiving devices, the system dynamically adjusts processing parameters to ensure critical images are diagnosed promptly while maintaining overall processing efficiency
Data Source
AI summary
An image processing apparatus is configured to acquire a first image group and a second image group and execute image processing on the first and second image groups. The image processing apparatus includes: a processor comprising hardware, wherein the processor is configured to: compare the number of images of interest in the first image group, with the number of images of interest in the second image group; and determine, based on a result of the comparison, priority of processing on the first image group and processing on the second image group.