Color Estimation Device Using Pixel Weighting and Segmentation
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Solution Overview
Problem
Existing color estimation methods for product images often inaccurately specify the product color due to background dominance or incorrect center pixel weighting, leading to incorrect color naming.
Innovation Solution
A color estimation device and method that extracts candidate color names from product information, estimates the product color based on pixel values and weights, and outputs the most accurate color by calculating pixel counts within defined color ranges, with higher weights assigned to central pixels and non-overlapping color ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If pixel counting is performed across the entire image, then the processing covers all regions, but the background color is incorrectly specified as the product color when the background occupies a large area
Solution Approach 1:
The patent divides the image processing into two distinct segments: first extracting the product region from the background using image processing techniques, then performing color analysis only on the extracted product pixels. This segmentation prevents background pixels from contaminating the color measurement, resolving the contradiction between comprehensive processing and accurate measurement.
2Ease of operation
If center pixel weighting is applied to emphasize the product location, then the product area is prioritized, but an incorrect color is specified when a different color is placed at the center
Solution Approach 1:
The patent extracts the product region from the image using image processing to obtain accurate product pixel coordinates, then performs color analysis based on these extracted coordinates rather than relying on center pixel weighting. This extraction approach eliminates the problem of incorrect color specification at the center while maintaining focus on the actual product area.
3Adaptability or versatility
If color ranges are set to overlap for comprehensive color matching, then more color variations are captured, but pixel count calculation becomes inaccurate due to double-counting
Solution Approach 1:
The patent assigns different weight values to different pixel positions within the product region based on their local characteristics. Central pixels receive higher weights while peripheral pixels receive lower weights, creating a local quality differentiation that emphasizes the core product area and improves color estimation accuracy without requiring overlapping color ranges.
Data Source
AI summary
A color estimation device includes an extraction means to extract, from product information associated with a product image showing a product and containing text information about the product to be presented to a user, a plurality of color text information indicating color names as candidate color names for the product, an estimation means to estimate a color of a product shown in the product image based on a pixel value set on the basis of each of the candidate color names and a pixel value of a pixel included in the product image, and an output means to output the color estimated by the estimation means.