Adaptive Shake Correction for Endoscope Image Stabilization
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Solution Overview
Problem
Medical endoscope images often become blurred due to the operation of the endoscope, spontaneous peristalsis in internal organs, and other movements, leading to reduced diagnostic accuracy and increased examination time.
Innovation Solution
An endoscope apparatus with an imaging section, a selection section that chooses appropriate shake correction parameter information based on the observation state, and a shake correction section that performs electronic shake correction using this information to stabilize images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If shake correction is performed on captured images, then image quality and diagnostic accuracy are improved, but processing time and examination duration increase
Solution Approach 1:
The system dynamically adjusts the shake correction processing level based on the observed peristalsis state. When strong peristalsis is detected, higher-level correction is applied; when weak or no peristalsis is detected, lower-level or no correction is applied. This dynamic adaptation resolves the contradiction by avoiding unnecessary processing time when shake correction is not needed, while ensuring high image quality when required.
Solution Approach 2:
The system changes the shake correction parameters (such as correction intensity, processing algorithm selection) based on the detected peristalsis state. By adjusting these parameters adaptively, the system optimizes the balance between image quality improvement and processing time consumption, resolving the technical contradiction between precision and time loss.
2Stability of the object's composition
If high-level shake correction is applied to all images, then image stability is improved, but processing speed decreases
Solution Approach 1:
The system applies different levels of shake correction to different images based on their specific characteristics (peristalsis state). Instead of uniformly applying high-level correction to all images, it selectively applies appropriate correction levels to each image according to its actual shake conditions, thereby maintaining high stability where needed while improving overall processing speed.
Solution Approach 2:
The correction level is dynamically adjusted based on real-time detection of peristalsis state. The system transitions between high-level and low-level correction modes depending on the current physiological state, optimizing the balance between image stability and processing efficiency.
3Device complexity
If shake correction parameters are fixed, then system complexity is reduced, but adaptability to different peristalsis states deteriorates
Solution Approach 1:
The system performs preliminary detection of the peristalsis state using captured images before applying shake correction. This preliminary action enables the system to automatically select appropriate correction parameters, achieving adaptability without requiring complex manual configuration or high system complexity.
Solution Approach 2:
The system automatically detects peristalsis state and selects correction parameters autonomously based on the observed conditions. This self-service mechanism provides adaptability to different peristalsis states while keeping the control system relatively simple, as the system manages its own parameter selection without external intervention.
Data Source
AI summary
An endoscope apparatus includes an imaging section, a selection section, and a shake correction section. The imaging section includes an imaging optical system and an imaging element, and captures images. The selection section selects shake correction parameter information from a plurality of pieces of shake correction parameter information based on the observation state of the imaging section. The shake correction section performs a shake correction process on the captured images based on the shake correction parameter information selected by the selection section.