Endoscope Image Processing Distance Calculation Bright Dark Regions

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current endoscope systems face challenges in accurately determining the distance to biological tissue surfaces, especially in bright and dark regions, due to variations in light reception values and spectral characteristics, which affects the generation of reliable three-dimensional images for observing protrusions and depressions within the body.

Innovation Solution

An image processing device that utilizes light reception value information from different wavelength ranges to calculate distances in bright and dark regions, employing a CCD sensor with R, G, and B pixels, and compensating for spectral characteristics to generate precise stereoscopic images.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If light reception value information from a single wavelength range is used to calculate distance, then the processing is simple, but the distance measurement precision deteriorates in bright and dark regions

Engineering Contradiction:
Improveprocessing complexityVSAvoiddistance measurement precision
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent segments the image into bright regions and dark regions, and applies different wavelength range calculations for each segment. For bright regions, distance is calculated using light reception values from a first wavelength range, while for dark regions, distance is calculated using light reception values from a second wavelength range. This segmentation approach resolves the contradiction by maintaining simple processing within each region while achieving high measurement precision across the entire image.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies different calculation methods (different wavelength ranges) to different local regions (bright vs. dark regions) of the image. This local quality approach ensures that each region uses the most appropriate wavelength range for its characteristics, thereby maintaining measurement precision without requiring complex global processing.

Inventive Principle:
Principle #3Local quality

2Measurement precision

If multiple illumination units operate at different positions are used to obtain two images, then three-dimensional information can be generated, but the observation time and complexity increase

Engineering Contradiction:
Improvethree-dimensional information accuracyVSAvoidobservation time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent performs preliminary classification of image regions into bright and dark regions before distance calculation. This preliminary action allows the system to use a single illumination unit and single image, eliminating the need for multiple illumination operations while still achieving accurate three-dimensional information through selective wavelength range application.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent extracts and processes only the necessary information (light reception values in specific wavelength ranges for specific regions) from the single image, rather than requiring multiple complete images. This extraction approach reduces observation time while maintaining the ability to generate accurate three-dimensional information.

Inventive Principle:
Principle #2Taking out (Extraction)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach stabilizes and precisely obtains distance information to biological tissue surfaces, enabling the generation of accurate three-dimensional images, even with one-time exposure, and facilitates smooth observation of internal body structures.

Implementation Method 1

utilizes light reception value information from different wavelength ranges to calculate distances in bright and dark regions, employing a CCD sensor with R, G, and B pixels

Methodology Applied
Scientific EffectPhotoelectric Effect: Photoelectric Effect

Data Source

PatentUS8692869B2Image processing device, image processing method, machine readable recording medium, endoscope system
Publication Date: 2014.04.08 OLYMPUS CORPORATION(JP)
  • US8692869B2 patent drawing
  • US8692869B2 patent drawing
  • US8692869B2 patent drawing

AI summary

An image processing device for processing image information including light reception value information obtained by imaging an inside of a living body includes: a distance information obtainment unit that obtains, at a bright region in the image information, information on a distance to a surface of the living body on the basis of the light reception value information on light in a first wavelength range, and obtains, at a dark region in the image information, information on a distance to the surface of the living body on the basis of the light reception value information on light in a second wavelength range which is a longer wavelength range than the first wavelength range.