Spectroscopic Image Processing for Unknown Material Detection
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Solution Overview
Problem
Existing methods for detecting foreign materials in images struggle when the absorption peak wavelength of the material is unknown, making it difficult to perform feature detection.
Innovation Solution
An information processing device that acquires spectroscopic images at multiple wavelengths, calculates optical spectra, detects feature wavelengths using secondary differential waveforms, and sets feature colors based on a hue circle to generate a feature detection image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the absorption peak wavelength of the foreign material is known, then the foreign material can be detected accurately, but the method cannot be applied when the foreign material is unknown
Solution Approach 1:
The detection process is segmented into multiple stages: first acquiring spectroscopic images at multiple wavelengths, then calculating optical spectra, detecting feature wavelengths using secondary differential waveforms, and finally setting feature colors based on a hue circle. This segmentation allows the system to handle both known and unknown materials by breaking down the complex detection task into manageable steps that progressively reveal material characteristics.
Solution Approach 2:
The patent transforms the detection problem from a one-dimensional wavelength search into a multi-dimensional color space analysis. By converting detected feature wavelengths into colors on a hue circle and generating feature detection images with distinct colors for different materials, the system adds a visual dimension that enables differentiation of unknown materials based on their spectral characteristics without requiring prior knowledge of their absorption peaks.
2Measurement precision
If multiple spectroscopic images at different wavelengths are acquired, then feature detection capability is improved, but the processing complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-acquiring spectroscopic images at multiple wavelengths before actual detection is needed. These pre-acquired images serve as a foundation that can be processed through the spectrum calculation unit and feature wavelength detection unit to generate feature detection images, reducing the complexity of real-time analysis.
Solution Approach 2:
The patent employs color changes as an intuitive visualization method to represent complex spectral data. By mapping detected feature wavelengths to specific colors on a hue circle and generating feature detection images where different materials appear in distinct colors, the system simplifies the interpretation of multi-wavelength spectroscopic data, making it easier to identify and differentiate materials without requiring complex analytical tools.
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
Enables effective detection of foreign materials even when their optical characteristics are unknown, allowing for clear differentiation between inspected objects and contaminants using distinct colors.
Implementation Method 1
acquire a plurality of spectroscopic images for a plurality of spectral wavelengths as a captured image of an imaging target
Implementation Method 2
calculate an optical spectrum in each of pixels, based on the plurality of spectroscopic images
Implementation Method 3
detect a feature wavelength corresponding to a predetermined feature condition of the optical spectrum in each of the pixels
Data Source
AI summary
An information processing device includes an image acquisition unit configured to acquire spectroscopic images for a plurality of spectral wavelengths as a captured image of an imaging target, a spectrum calculation unit configured to calculate an optical spectrum in each of pixels, based on the plurality of spectroscopic images, a feature wavelength detection unit configured to detect a feature wavelength of the optical spectrum in each of the pixels, a color set unit configured to calculate a feature angle corresponding to the feature wavelength in each of the pixels and set, as a feature color of a corresponding pixel, a color in the hue circle corresponding to the feature angle, and an image generation unit configured to generate a feature detection image obtained by converting each of the pixels of the captured image into the feature color corresponding to the pixel.