Endoscope Evaluation Value Calculation Using Angular Color Analysis
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Solution Overview
Problem
Existing endoscope systems face high processing loads and fluctuating evaluation values due to non-linear calculations and brightness variations in image capturing conditions, making precise diagnosis of lesions challenging, especially for inexperienced operators.
Innovation Solution
An endoscope system that calculates evaluation values by determining the angle between pixel points and reference axes in a color plane defined by two color components, reducing processing load and minimizing brightness-induced fluctuations, using a light source device to optimize image brightness and a display part to superimpose evaluation results on normal images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If tone enhancement process and color space conversion are executed to enhance lesion detection accuracy, then measurement precision is improved, but device complexity and processing load increase
Solution Approach 1:
The invention extracts only the essential color information needed for lesion detection by directly calculating the angle between pixel color vectors and reference axes, eliminating the need for complex tone enhancement and color space conversion processes while maintaining diagnostic accuracy
Solution Approach 2:
The invention changes the parameter representation from complex multi-dimensional color space coordinates to a simplified angular parameter (θ) that directly represents the correlation between pixel color and lesion characteristics, reducing computational complexity while preserving measurement precision
2Measurement precision
If non-linear calculation processes are applied to enhance lesion visibility, then measurement precision is improved, but processing load increases
Solution Approach 1:
The invention replaces complex non-linear mechanical calculation processes (tone enhancement, color space conversion) with a simpler vector-based angular calculation that achieves the same lesion detection accuracy with significantly reduced computational load and faster processing speed
3Measurement precision
If tone enhancement process is applied to improve lesion detection, then measurement precision is improved, but evaluation value stability deteriorates due to brightness fluctuations
Solution Approach 1:
The invention changes from using absolute color values that are sensitive to brightness fluctuations to using angular parameters (θ) that represent relative color relationships, making the evaluation values stable and independent of illumination conditions while maintaining high measurement precision
Data Source
AI summary
An endoscope system, includes a light source device that emits illumination light to an object, an image obtaining part that captures light reflected at the object by an image pickup element and thereby obtains a color image including at least three color components, and an evaluation part that obtains, for each of pixels constituting the color image obtained by the image obtaining part, an evaluation result concerning a target disease based on an angle, in a color plane being defined by at least two of the at least three color components, formed between a line segment, which connects a predetermined reference point positioned on the color plane with a corresponding pixel point allocated corresponding to the each of the pixels in the color plane, and a reference axis having a correlation with the target disease. The reference axis is set to pass through the predetermined reference point.