Print Material Measurement Position Guide
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Solution Overview
Problem
Existing methods for determining measurement positions on print materials are subjective and prone to variations, leading to inconsistent color measurements due to uneven printing and the need for specialized equipment, which can be costly and difficult to implement.
Innovation Solution
A method and device for presenting and determining measurement positions on print materials using a measurement position presentation guide generated from print image data, which includes determining candidate regions, allocating measurement positions based on area proportions, and dispersing these positions to account for unevenness and importance of color regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual selection of measurement points is used, then flexibility in selecting important areas is improved, but subjectivity and variability between examiners increase
Solution Approach 1:
The system enables self-service by automatically determining measurement points based on image data analysis. The measurement point determination unit autonomously identifies appropriate measurement locations without requiring human intervention, thereby eliminating subjectivity while maintaining the ability to target important areas through automated image analysis algorithms.
Solution Approach 2:
The patent replaces the mechanical/manual system of physical measurement point selection with an automated information processing system. Image data is analyzed through computational algorithms to automatically determine measurement points, substituting human visual inspection and manual marking with digital image processing and automated decision-making.
2Measurement precision
If automatic selection based on image data is used, then objectivity of color determination is improved, but accuracy in capturing important color regions may be reduced
Solution Approach 1:
The system applies local quality by analyzing different regions of the image data with varying levels of detail. The measurement point determination unit identifies regions with specific color characteristics and selects measurement points accordingly, ensuring that important color regions are captured with appropriate precision while maintaining overall objectivity through automated analysis.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system continuously refines its measurement point selection based on image data analysis. The measurement point determination unit evaluates image characteristics and adjusts its selections to ensure accurate capture of important color regions, using feedback from the analyzed image data to improve measurement point accuracy.
3Measurement precision
If multiple measurement points are selected, then comprehensive color evaluation is improved, but complexity of measurement process increases
Solution Approach 1:
The system applies segmentation by dividing the image data into multiple regions and selecting measurement points from each relevant region. This allows comprehensive color evaluation across different areas of the print material while managing complexity through systematic organization of measurement points by region, making the measurement process more structured and manageable.
4Measurement precision
If specialized equipment is used for color measurement, then measurement accuracy is improved, but cost and ease of implementation deteriorate
Solution Approach 1:
The patent introduces an intermediary system that bridges the gap between simple equipment and accurate measurement. The measurement point determination unit acts as an intermediary that processes image data and identifies optimal measurement locations, enabling accurate color measurement using simpler, more cost-effective equipment rather than requiring complex specialized measurement devices.
Data Source
AI summary
A measurement position presentation guide indicating a measurement position of the print material is generated on the basis of the print image data. To achieve the second object, print image data is analyzed to extract a plurality of measurement candidate regions that are candidates of a measurement position. The number of measurement positions to be allocated to each of a plurality of measurement candidate region groups of which image signal values are different is determined. The measurement candidate region group of which the image signal value is within a predetermined range with respect to the measurement candidate region group to which the measurement position has been allocated is excluded from targets of allocation of the measurement position.