Endoscopic Image Processing HSV Lesion Overlay
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Solution Overview
Problem
Current endoscopic image processing devices struggle to accurately and objectively identify lesion portions, particularly in cases where color differences between normal and lesion tissues are subtle, leading to subjective operator judgments and lack of reproducibility.
Innovation Solution
An image processing device that converts endoscopic images into the HSV color space, applies tone enhancement to broaden the dynamic range near lesion boundaries, and overlays lesion pixels with specific colors, enabling more precise and reproducible identification of lesions through effective pixel judgment and overlay image display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If color conversion process is applied to highlight color difference, then ease of lesion identification is improved, but objectivity and reproducibility of diagnosis deteriorates due to reliance on operator's subjective color perception
Solution Approach 1:
The patent transforms the endoscopic image data from RGB color space to HSV color space, changing the parameter representation of colors. By doing so, it enables objective numerical comparison of hue values between lesion and normal portions, eliminating reliance on subjective human color perception while maintaining ease of lesion identification through clear numerical differentiation.
2Measurement precision
If color endoscope device performance is enhanced, then ability to detect subtle color differences is improved, but operator training time and expertise requirements increase
Solution Approach 1:
The patent replaces the mechanical approach of relying on operator expertise and prolonged training with an automated computational system. The HSV color space conversion and automatic lesion detection algorithm substitute for human expert judgment, achieving high measurement precision without requiring extensive operator training time.
3Stability of the object's composition
If judgment is made based on continuous color change at boundaries, then natural representation of tissue transition is improved, but identification accuracy of lesion portions deteriorates due to very small color differences
Solution Approach 1:
The patent applies parameter transformation by converting to HSV color space and specifically utilizing the hue parameter. This transformation enhances the differentiation capability at tissue boundaries by representing color information in a way that maximizes the separation between lesion and normal portions, improving identification accuracy while preserving the continuous nature of tissue transition.
Data Source
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AI summary
An image processing device, comprising an obtaining means that obtains color endoscopic image data, a color space conversion means that converts a color space of the color endoscopic image data to an HSI color space based on hue, saturation and intensity or an HSV color space based hue, saturation and a value, a lesion pixel judgment means that judges, for each of pixels constituting a color endoscopic image, whether or not each pixel is a lesion portion based on the hue and the saturation, an overlay processing means that executes an overlay process which changes a color of the pixel judged to be the lesion portion by the lesion pixel judgment means, and an overlay image display means that displays an overlay image obtained by subjecting the color endoscopic image to the overlay process.