Image Summarization Using Deformation Coverage Analysis
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Solution Overview
Problem
In medical imaging, particularly with large datasets from sources like capsule endoscopes, existing image summarization techniques fail to ensure that critical areas such as lesions are not missed during the process of reducing the number of images, as they do not adequately account for the relationship between the object in the reference and target images.
Innovation Solution
An image processing device and method that selects reference and determination target images based on deformation information and structural elements, calculating coverage areas and determining the probability of missing attention areas to decide whether images can be deleted, ensuring that critical areas remain captured.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If image summarization process deletes images from the sequence to reduce the number of images, then the time required to check images is reduced, but the risk of missing critical areas such as lesions increases
Solution Approach 1:
The system calculates coverage areas and determines the probability of missing attention areas based on deformation information, using this feedback to intelligently select which images to delete while ensuring critical areas are preserved in the summary image sequence
Solution Approach 2:
The system changes the parameter of image selection by using deformation information and coverage area calculations to determine which images should be retained, transforming the summarization process from simple deletion to intelligent selection based on calculated parameters
2Productivity
If existing image summarization techniques are used to reduce the number of images, then the number of images is reduced, but the accuracy of determining which images to delete deteriorates because they do not account for deformation information and coverage areas
Solution Approach 1:
The system performs preliminary calculations of coverage areas and deformation information analysis before deleting images, ensuring that the determination of which images to delete is made with high precision based on pre-computed parameters
Solution Approach 2:
The system introduces coverage area calculations and deformation information as intermediary parameters that mediate between the reference image and determination target image, enabling precise determination of which images should be deleted
Data Source
AI summary
An image processing device including an image sequence acquisition section that acquires an image sequence that includes a plurality of images; and a processing section that performs an image summarization process that deletes some of the plurality of images included in the image sequence acquired by the image sequence acquisition section to acquire a summary image sequence. The processing section detecting a scene change from the image sequence, setting a partial image sequence that includes images among the plurality of images included in the image sequence based on the detected scene change, selecting a reference image and a determination target image from the partial image sequence, and determining whether or not the determination target image can be deleted based on deformation information about the reference image and the determination target image.