Ophthalmic Image Color Gamut Correction for Fundus Analysis
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Solution Overview
Problem
Color fundus images captured by high confocal devices often have unnatural color tones compared to traditional fundus photographs, causing discomfort for examiners accustomed to the latter.
Innovation Solution
A non-transitory computer-readable storage medium storing an ophthalmic image processing program that corrects pixel values of color components in color fundus images based on color gamut information to generate a color gamut-corrected image, aligning the color tint with that of traditional fundus photographs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If color tone correction is performed using a predetermined histogram target pattern for each color, then the color tone becomes constant regardless of imaging conditions, but unnatural color development occurs in parts of the image
Solution Approach 1:
The patent applies different correction strategies to different regions of the image. Natural color regions are corrected using fundus photograph reference data to maintain anatomical accuracy, while artificial contrast regions preserve their enhanced appearance. This regional differentiation resolves the contradiction by allowing color tone stability in natural regions without introducing unnatural colors.
Solution Approach 2:
The patent dynamically adjusts correction parameters based on the specific characteristics of each image region. By changing the correction strength and method according to local image properties, it achieves both color tone consistency and natural color representation where needed.
2Shape
If color fundus images are captured using high confocal devices, then image contrast is improved, but color tint differs from traditional fundus photographs causing examiner discomfort
Solution Approach 1:
The patent selectively applies color correction to regions that should match traditional fundus appearance while preserving the high contrast characteristics in regions where enhanced visibility is beneficial. This allows examiners to maintain familiarity with natural color regions while benefiting from improved contrast elsewhere.
Solution Approach 2:
The patent uses fundus photographs as reference copies to establish target color characteristics. By copying the color properties from traditional fundus photographs and applying them to corresponding regions in the high confocal images, it maintains examiner familiarity while preserving the superior contrast of the new imaging technology.
Data Source
AI summary
An ophthalmic image processing apparatus includes a processor. The processor acquires a first image as a color fundus image, and corrects a pixel value of at least any color component in the first image, based on color gamut information for specifying a predetermined color gamut to be applied to a color fundus image, to generate a color gamut-corrected image.