Endoscopic Image Masking via Contour Detection
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Solution Overview
Problem
Endoscopic images often have active image areas smaller than the total pixels, leading to unnecessary computational resource burden when transmitting, visualizing, storing, and processing the entire image, including inactive areas.
Innovation Solution
A system and method for masking endoscopic images by applying a mask to the image based on the estimated circular area enclosing the largest detected contour, thereby retaining only the active image areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the entire endoscopic image including inactive areas is transmitted, stored, and processed, then complete image data is available, but computational resource burden increases unnecessarily
Solution Approach 1:
The patent extracts and processes only the active image area from the complete endoscopic image. By identifying the active region boundaries and separating it from inactive areas, the system processes only necessary image data, reducing computational resource consumption while maintaining reliability for surgical applications
Solution Approach 2:
The patent segments the endoscopic image into active and inactive areas based on detected boundaries. This segmentation allows the system to apply different processing strategies to different regions, focusing computational resources on the clinically relevant active area while excluding inactive portions
2Loss of information
If the entire endoscopic image including inactive areas is transmitted and stored, then no data is lost, but transmission and storage efficiency decreases
Solution Approach 1:
The patent extracts only the active image area containing clinically relevant information for transmission and storage. By removing inactive areas that contain no useful surgical information, the system improves transmission and storage efficiency without causing loss of important medical data
Solution Approach 2:
The patent applies different quality requirements to different image regions. The active area receives full processing and retention to ensure no diagnostic information is lost, while inactive areas are excluded from processing, optimization, and storage to improve overall system efficiency
Data Source
AI summary
Systems, methods, and computer readable storage medium techniques for masking endoscopic images are disclosed. A system receives an input digital image and applies one or more denoising algorithms and one or more contour detection algorithms to detect a plurality of contours in the image. A contour having the largest area is identified. A smallest circular area enclosing the largest area contour is estimated, and a mask is applied to the image based on the circular area to generate a masked image.


