Endoscope Processor Geometric Distortion Correction
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Solution Overview
Problem
Existing endoscopic image processing techniques face challenges in accurately extracting feature amounts due to geometric distortion and non-uniform pixel sensitivity, leading to incorrect target region detection.
Innovation Solution
An endoscope processor that includes image acquisition, first and second correction units to correct captured images, and an output unit for generating endoscopic images suitable for observation and recognition using trained image recognition models, employing processes like offset correction, gain correction, gamma correction, white balance correction, geometric distortion correction, and noise uniformization to enhance recognition accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If feature amount is extracted from endoscopic image for observation by doctor, then image processing can be performed, but geometric distortion and non-uniform pixel sensitivity cause inaccurate feature amount extraction
Solution Approach 1:
The patent applies preliminary correction actions to the captured image before feature amount extraction. Specifically, it performs geometric distortion correction and non-uniformity correction (including offset correction and gain correction) on the captured image to generate a corrected image, from which accurate feature amounts are then extracted. This preliminary processing eliminates the harmful effects of distortion and non-uniformity before the main extraction operation.
Solution Approach 2:
The patent introduces a corrected image as an intermediary between the captured image and the feature amount extraction process. The corrected image serves as a mediator that has been processed to remove geometric distortion and non-uniform pixel sensitivity, thereby enabling accurate feature extraction without directly processing the distorted captured image.
2Measurement precision
If multiple correction processes are applied to captured image, then recognition accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent segments the image processing into distinct correction stages: offset correction, gain correction, and geometric distortion correction. Each correction process is performed as a separate functional unit that processes the image independently, allowing for modular implementation and easier control of processing complexity while achieving cumulative accuracy improvements.
Data Source
AI summary
An endoscope processor according to one aspect includes an image acquisition unit that acquires a captured image from an endoscope, a first correction unit that corrects the captured image acquired by the image acquisition unit, a second correction unit that corrects the captured image acquired by the image acquisition unit, and an output unit that outputs an endoscopic image based on the captured image corrected by the first correction unit and a recognition result using a trained image recognition model in which the recognition result is output in a case where the captured image corrected by the second correction unit is input.