Digestive Tract Image Cleanliness Detection Using Hue Saturation Analysis
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Solution Overview
Problem
Capsule endoscopy examinations in the digestive tract, particularly in the stomach, are hindered by images containing mucus, bubbles, or turbid gastric juice, making it difficult to assess cleanliness and accurately determine the digestive tract's state.
Innovation Solution
A method using Hue and Saturation ranges to form detection graph blocks from pixel sets in images, calculating connected components and area ratios to determine if images are unclean, and applying these criteria to assess the cleanliness of the digestive tract, with a computer device and storage medium executing these steps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If capsule endoscopy is performed in the stomach, then examination of digestive tract is enabled, but images are contaminated with mucus, bubbles, or turbid gastric juice making examination difficult
Solution Approach 1:
The patent applies preliminary action by performing a cleanliness assessment examination before the main diagnostic examination. The system evaluates images taken during an initial phase to determine if the digestive tract is clean enough for accurate diagnosis. If contamination is detected, the system provides feedback to guide cleaning procedures before the actual examination, ensuring optimal image quality for medical diagnosis.
2Productivity
If the digestive tract is poorly cleansed before examination, then capsule endoscopy can still be performed, but a large number of unclean images are captured making complete examination difficult
Solution Approach 1:
The patent implements feedback by continuously monitoring image quality during the examination process. The system automatically detects unclean images using image processing algorithms that identify mucus, bubbles, and turbid gastric juice. When contamination is detected, the system provides real-time feedback to guide cleaning actions and adjusts the examination plan accordingly, preventing waste of examination time on unusable images and ensuring that sufficient clean images are captured for complete diagnostic evaluation.
3Measurement precision
If manual assessment of image cleanliness is performed, then doctor can evaluate digestive tract cleanliness, but time consumption increases and assessment accuracy may vary
Solution Approach 1:
The patent replaces the manual mechanical assessment process with an automated image processing system. The system uses computer algorithms to automatically detect and evaluate mucus, bubbles, and turbid gastric juice in images, replacing the doctor's manual visual inspection. This automated approach provides consistent, objective, and rapid cleanliness assessment, eliminating variability in human judgment and significantly reducing the time required to evaluate digestive tract cleanliness while maintaining or improving assessment accuracy.
Data Source
AI summary
A method of examining digestive tract images is provided. The method of examining digestive tract images include: obtaining a basic image taken by a photographing apparatus; obtaining a set H of pixels with Hue in the range of D1 in the basic image; obtaining a set S of pixels with Saturation in the range of D2 in the basic image; obtaining a set of pixels with Value in the range of D3 in the basic image, and recording it as an effective pixel range; selecting all pixel sets of the set H and the set S in the effective pixel range to form a detection graph block; examining whether the basic image is an unclean image according to the detection graph block. The present invention further provides a method of examining the cleanliness of the digestive tract, a computer device, a computer-readable storage medium thereof.