Color Identification via Chart-Based Image Conversion
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Solution Overview
Problem
Current methods for identifying the color of a target object are costly and inefficient, as they require direct measurement with a color measuring device, which is expensive and not practical for frequent use.
Innovation Solution
A data processing apparatus that uses a color chart attached to the target object, capturing an image with an image capturing device, and converting the image data into estimated color data based on measured color samples, allowing for color identification without direct measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If direct measurement with a color measuring device is used, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
A color chart serves as an intermediary reference object between the image capturing device and the target object. The color chart contains multiple color samples with known measured values, which are captured in the image to establish a correspondence relationship between image data and actual color measurements, enabling indirect color identification without direct contact with the target object
Solution Approach 2:
The invention creates a virtual copy of the color measuring device's functionality through software processing. By capturing the color chart and target object together in an image, extracting color information from the color chart samples, and establishing a mapping relationship, the system replicates the measurement function of expensive physical devices using standard imaging equipment
2Reliability
If direct measurement with a color measuring device is used, then reliability is improved, but ease of operation deteriorates
Solution Approach 1:
The color chart is designed to be self-contained with multiple color samples that automatically serve as reference standards. When captured in the image, the color chart samples automatically provide the necessary calibration data without requiring manual intervention, complex setup procedures, or specialized operational skills, making the system easy to operate while maintaining reliability
3Measurement precision
If multiple color samples are measured, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The color chart is pre-prepared with multiple color samples that have known measured values stored in advance. During the measurement process, these pre-existing reference samples are captured in the image and used for comparison, eliminating the need to individually measure each color sample at the time of use, thus reducing measurement time while maintaining precision
Solution Approach 2:
The invention merges the measurement of multiple color samples and the target object into a single image capture operation. By attaching the color chart to the target object and capturing them together, the system simultaneously obtains reference color data and target color data in one action, significantly reducing the time required compared to separate measurement procedures
Data Source
AI summary
A data processing apparatus includes an obtaining unit and a converting unit. The obtaining unit obtains measured color sample data, which represents values obtained by measuring color samples on a color chart with a color measuring device, and image data, which represents an image of the color chart and a target object captured with an image capturing apparatus. The converting unit converts captured target object color data, which represents a value of a color of the target object included in the image data, into estimated target object color data, which represents an estimated value of the color of the target object identified if the color of the target object were measured with the color measuring device, on the basis of the measured color sample data and captured color sample data, which represents values of the multiple color samples included in the image data.