Color Image Processing Apparatus for Reflection Characteristic Measurement
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Solution Overview
Problem
Existing image processing techniques for measuring reflection characteristics of objects using imaging apparatuses face challenges in distinguishing between noise-induced peaks and actual reflectance peaks, making it difficult to accurately identify the reflection characteristics of objects.
Innovation Solution
A processing apparatus that captures multiple color images of an object under varying geometric conditions, determines the correlation between different color values at each pixel position, and generates an attribute value map to differentiate between noise and actual reflectance peaks based on the correlation coefficients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If reflection characteristic measurement is performed using an imaging apparatus, then the reflection characteristic can be obtained, but noise in the captured image makes it impossible to distinguish between noise-induced peaks and actual reflectance peaks
Solution Approach 1:
The patent segments the reflection characteristic measurement into multiple discrete geometric conditions (different illumination angles and observation angles). By capturing images under multiple segmented conditions and analyzing the correlation of pixel values across these segments, the system can distinguish true reflectance peaks from noise. The segmentation allows for statistical analysis that filters out random noise while preserving genuine reflection characteristics.
Solution Approach 2:
The patent adds a new dimension to the measurement by introducing multiple geometric conditions (combinations of illumination angles and observation angles). Instead of measuring reflection at a single geometric condition, the system captures images across a multi-dimensional space of geometric parameters. This dimensional expansion enables correlation analysis that distinguishes true reflectance peaks (which appear consistently across dimensions) from noise (which appears randomly).
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 allows for the accurate identification of reflectance peaks corresponding to the object's reflection characteristics, even in cases where noise is present, thereby improving the accuracy of reflection characteristic measurement.
Implementation Method 1
measuring a reflection characteristic that is a reflectance different depending on a direction of light emitted to the object from a light source and a direction in which the object is observed
Data Source
AI summary
A processing apparatus includes an acquisition unit configured to acquire a plurality of pieces of color image data respectively representing a plurality of color images, a determining unit configured to determine a degree of correlation between at least two color values among a plurality of types of color values included in each of a plurality of pixel values corresponding to a pixel position in the plurality of color images, and a determination unit configured to determine, based on the determined degree of correlation, whether a feature related to a direction of light reflected from an object appears in the plurality of pixel values corresponding to the pixel position.