Image Processing Method for Object Region to Table Conversion
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Solution Overview
Problem
Existing image processing methods fail to efficiently convert input images of objects into standardized table formats, making it difficult to present information in an intuitive and organized manner.
Innovation Solution
An image processing method that identifies object regions, establishes coordinate systems, maps and expands labeling frames to create table regions, allowing objects to be filled into these frames and presented in a structured table format.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If object regions are directly converted to table format without coordinate mapping and expansion, then the process is simple, but the information cannot be presented in a standardized table format
Solution Approach 1:
The patent introduces an intermediate coordinate system and labeling frame expansion mechanism as a mediator between the original object regions and the final table format. The coordinate mapping process uses reference values to transform object region coordinates into table structure coordinates, while the labeling frame expansion automatically adjusts region boundaries to fit table cell requirements, enabling standardized table output without manual intervention
Solution Approach 2:
The patent changes key parameters including coordinate system reference values, labeling frame expansion ratios, and region mapping parameters to transform arbitrary object regions into standardized table cells. By dynamically adjusting these parameters based on the input image characteristics, the system achieves both standardization and adaptability in the table conversion process
2Measurement precision
If coordinate mapping with reference values is performed, then table region accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary actions by pre-establishing coordinate systems and pre-defining reference values for common object types before the actual table conversion. The labeling frames are pre-configured with expansion parameters that can be automatically applied during mapping, reducing the computational burden and processing time during the actual conversion while maintaining high positioning accuracy
3Quantity of substance
If labeling frames are expanded to accommodate all objects, then information completeness is improved, but region overlap and distortion occur
Solution Approach 1:
The patent implements dynamic labeling frame expansion where the expansion parameters are adjusted based on the specific characteristics of each object region and its relationship with adjacent regions. The system dynamically determines the appropriate expansion ratio and direction for each labeling frame, preventing overlap with neighboring regions while ensuring complete coverage of all information elements within each region
Data Source
AI summary
An image processing method includes obtaining an input image, the input image includes object regions, and each object region includes at least one object; identifying the object regions to obtain object region labeling frames; establishing a first coordinate system based on the input image, the object region labeling frames are located in the first coordinate system; mapping the object region labeling frames from the first coordinate system to a second coordinate system according to a reference value to obtain first region labeling frames corresponding to the object region labeling frames, the first region labeling frames are located in the second coordinate system; performing expansion processing on the first region labeling frames to obtain expanded second region labeling frames; and mapping the second region labeling frames from the second coordinate system to the first coordinate system according to the reference value to obtain table region labeling frames.