Color Range Setting for Precise Pixel Selection in Image Data
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Solution Overview
Problem
Existing image data conversion methods face difficulties in accurately selecting and converting specific colors within a desired area, often resulting in unintended color changes outside the designated area due to the complexity of image data properties.
Innovation Solution
A recording data generation apparatus that allows for precise color range setting based on partial pixel RGB values or L*a*b* values, enabling selection and conversion of pixels within a desired area by setting a color range around a designated pixel, with options for converting to transparent, white, or designated colors, while maintaining gradation consistency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the desired area is hard to be designated with accuracy, then the specific color in areas other than the desired area is likely to be converted, but attempting to designate the inside of a desired area of image data with accuracy is difficult depending on the property of the image data
Solution Approach 1:
The patent transforms the complex task of accurate area designation into a simple parameter setting task. Instead of requiring users to manually designate areas with precision, the system allows users to input color parameters (such as hue, saturation, brightness ranges) that automatically define the target color range. This parameter-based approach resolves the contradiction by making color selection accurate through numerical parameters while keeping the operation simple and intuitive.
Solution Approach 2:
The patent replaces the manual mechanical interaction of dragging and dropping area selection tools with an automated parameter-matching system. The system uses algorithmic color space analysis to automatically identify and select pixels matching the specified color parameters, substituting the cumbersome mechanical area designation process with an intelligent automated selection mechanism that achieves both accuracy and ease of use.
2Ease of manufacture
If conventional color conversion methods are used, then color conversion can be performed, but it is not easy to select the specific color within a desired area
Solution Approach 1:
The patent simplifies specific color selection by transforming it into a parameter-setting operation. Users define color ranges using numerical parameters (hue ranges, saturation thresholds, brightness levels) instead of attempting to manually select colors from complex image data. The system then automatically applies these parameters to identify and convert the desired specific colors, making the operation straightforward while maintaining conversion capability.
Solution Approach 2:
The patent introduces color parameters as an intermediary between the user and the color conversion process. Rather than directly interacting with pixel data or manually selecting colors, users work with abstract color parameter definitions that serve as a mediator. This intermediary layer simplifies the operation by providing a clear, parameter-based interface while the system handles the complex task of matching these parameters to actual pixels in the image.
Data Source
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AI summary
Included are a display portion that displays image data; a selection portion that allows selection of a partial pixel from among pixels constituting the image data displayed on a display portion; a color range setting portion that allows setting a color range on the basis of a color of the partial pixel; a determination portion that determines whether or not a pixel constituting the image data is a pixel falling within the color range; a determination practice portion that causes the determination made by the determination portion to be sequentially practiced with respect to a pixel adjacent to a determination-completed pixel on the basis of the partial pixel until the pixel adjacent to a determination-completed pixel becomes a pixel not falling within the color range; a pixel designation portion that designates at least one pixel which is determined as a pixel falling within the color range by the determination portion; a color conversion portion that converts a color of each of the at least one pixel designated by the pixel designation portion; and a recording data generation portion that generates recording data on the basis of image data resulting from the color conversion by the color conversion portion with respect to a color of each of the at least one pixel designated by the pixel designation portion.