Image Region Attribute Determination Using Hierarchical Statistical Accumulation
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Solution Overview
Problem
Existing image processing technologies face challenges in accurately determining the attributes of target regions in images, leading to potential misclassification of image regions such as photos, text, and drawings.
Innovation Solution
An image processing device employing a multifunction peripheral with a CPU, storage, and scanning units, utilizing edge detection filters, region classification, and tree structure analysis to determine and modify attributes based on pixel density, brightness distribution, and color number, ensuring accurate identification of image regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image regions are divided into parent and child regions and attributes are determined separately for each region, then the flexibility to handle different region types is improved, but the accuracy of attribute determination deteriorates due to insufficient data for each individual region
Solution Approach 1:
The patent merges the attribute determination of parent regions and child regions by accumulating statistical information (pixel density, brightness distribution, color number) across multiple regions. The attribute of a parent region is determined based on aggregated data from its child regions, allowing accurate classification even when individual child regions have insufficient data.
Solution Approach 2:
The patent performs preliminary attribute determination on child regions before determining the attribute of parent regions. Statistical information is accumulated in advance from child regions to parent regions, enabling accurate attribute determination at higher levels without requiring separate analysis of each region type.
2Measurement precision
If attribute determination is performed on each child region independently, then the detail level of region analysis is improved, but the computational complexity and time required increase
Solution Approach 1:
The patent performs attribute determination on child regions first and stores their statistical information (pixel density, brightness distribution, color number) for later use. This preliminary action eliminates the need to re-analyze child regions when determining parent region attributes, significantly reducing computational time.
Solution Approach 2:
The patent combines the results of child region analysis with parent region analysis by accumulating statistical data. Instead of performing separate independent analyses, the system merges child region statistics into parent region determinations, reducing redundant computations and overall processing time.
3Measurement precision
If statistical information is accumulated from child regions to determine parent region attributes, then the accuracy of parent region classification is improved, but the complexity of the attribute determination process increases
Solution Approach 1:
The patent creates a universal attribute determination process that works for both child regions and parent regions using the same statistical metrics (pixel density, brightness distribution, color number). The accumulation mechanism serves multiple purposes: it determines child region attributes individually and simultaneously aggregates data for parent region determination, simplifying the overall process architecture.
Data Source
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AI summary
An image processing device includes a processor; and a memory storing computer readable instructions therein. The computer-readable instructions, when executed by the processor, causes the image processing device to perform: preparing image data representing an image; identifying a first region in the image and a second region disposed inside of the first region; determining an attribute of the first region to be one of a plurality of attributes; and determining, when the attribute of the first region is determined to be the first type attribute, an attribute of the second region by using the attribute of the first region. The plurality of attributes includes a first type attribute indicating one of photo and drawing.