Electronic Endoscope Processor Color Correction
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Solution Overview
Problem
Conventional electronic endoscope systems with only white balance correction functions suffer from large color information errors, leading to low precision in identifying lesion sites based on color components in endoscopic images.
Innovation Solution
An electronic endoscope processor that converts pixel data from n types of color components to m types (m<3) for color correction using a predetermined coefficient, and acquires evaluation results based on the corrected data, employing a color component correction coefficient and evaluation result correction coefficient for enhanced precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If white balance correction function is used to correct color information in endoscopic images, then the correction process is simple and fast, but large color information errors remain and lesion site identification precision is low
Solution Approach 1:
The patent changes the parameters of color correction by introducing multiple correction coefficients (white balance correction coefficient, chromatic color correction coefficient, and evaluation result correction coefficient) that adjust different aspects of color information. This allows comprehensive color correction while maintaining computational efficiency through matrix operations on pixel data.
Solution Approach 2:
The patent introduces an intermediary evaluation result calculation step that bridges raw pixel data and final lesion identification. By calculating evaluation results from corrected pixel data and then correcting these evaluation results separately, the system achieves high precision without requiring complex direct pixel manipulation for lesion detection.
2Measurement precision
If conventional white balance correction is applied, then the correction process is simple, but chromatic color errors cannot be corrected and large color information errors exist
Solution Approach 1:
The patent segments the color correction process into distinct components: white balance correction for achromatic axis adjustment, chromatic color correction for color axis adjustment, and evaluation result correction for final precision improvement. Each segment addresses specific types of color errors, achieving comprehensive correction through multiple specialized correction steps.
Solution Approach 2:
The patent introduces multiple correction coefficients that modify different parameters of color information. The white balance correction coefficient adjusts brightness parameters, the chromatic color correction coefficient adjusts color saturation and hue parameters, and the evaluation result correction coefficient fine-tunes the final diagnostic parameters, thereby comprehensively improving color information accuracy.
Data Source
AI summary
An electronic endoscope processor has a configuration including: a converting means for converting pieces of pixel data that are made up of n (n≥3) types of color components and constitute a color image in a body cavity into pieces of pixel data that are made up of m (m≥2) types of color components, m being smaller than n; a color component correcting means for correcting the converted pieces of pixel data made up of m types of color components with use of a predetermined color component correction coefficient; and an acquiring means for acquiring an evaluation result related to a target illness based on the corrected pieces of pixel data made up of m types of color components.