Electronic Endoscope Evaluation Value Calculation Device
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Solution Overview
Problem
Existing evaluation value calculation methods for lesion sites in endoscope images are burdensome due to non-linear processing and sensitive to image brightness variations, making accurate diagnosis challenging.
Innovation Solution
An electronic endoscope system that projects pixel correspondence points from a first color plane to a second color plane using a reference axis, applying coefficients based on R and mucous membrane variation axis values to calculate an evaluation value, reducing processing burden and brightness influence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If non-linear calculation processing and color space conversion processing are performed to calculate evaluation values, then lesion site identification accuracy is improved, but hardware resource requirements and processing burden increase
Solution Approach 1:
The patent extracts only the essential color information needed for lesion detection by projecting pixel correspondence points onto a second color plane that includes a reference axis correlated with mucous membrane hue. This selective extraction avoids performing full non-linear tone enhancement and complete color space conversion, thereby reducing hardware resource requirements while maintaining sufficient accuracy for lesion site identification
Solution Approach 2:
The patent performs preliminary plotting of pixel correspondence points on a first color plane and establishes a reference axis before the actual evaluation calculation. This preliminary organization of color data in a structured coordinate system enables more efficient subsequent processing by avoiding redundant calculations and allowing direct computation of evaluation values based on projected positions, thus reducing overall processing burden
2Measurement precision
If tone enhancement processing is performed to improve lesion visibility, then lesion site detection capability is improved, but evaluation values become sensitive to image brightness variations
Solution Approach 1:
The patent transitions from analyzing pixel values in the original RGB color space to plotting pixel correspondence points in a transformed coordinate system (first color plane with reference axis, then second color plane). This dimensional transformation allows the evaluation to be based on relative positional relationships rather than absolute brightness values, making the evaluation values insensitive to image brightness variations while maintaining lesion detection capability
Solution Approach 2:
The patent changes the parameters used for evaluation from absolute pixel intensity values to relative positions in a transformed color space. By using the projected position of pixel correspondence points on the second color plane as the evaluation basis, the system achieves brightness independence while preserving the ability to distinguish lesion sites based on their characteristic color differences
Data Source
AI summary
An electronic endoscope system includes a plotting unit which plots pixel correspondence points, which correspond to pixels that constitute a color image that has multiple color components, on a first color plane according to color components of the pixel correspondence points, the first color plane intersecting the origin of a predetermined color space; an axis setting unit which sets a predetermined reference axis in the first color plane; a transform unit which defines a second color plane that includes the reference axis, and subjecting the pixel correspondence points on the first color plane to projective transformation onto the second color plane; and an evaluation value calculating unit which calculates a prescribed evaluation value with respect to the color image based on the pixel correspondence points subjected to projective transformation onto the second color plane.