Document Edge Detection via Color Information Analysis
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Solution Overview
Problem
Existing document scanning technologies face challenges in accurately detecting the tilt of documents and performing correction, especially when there is no significant shadow region between the document and background, leading to failed edge detection and erroneous tilt calculations.
Innovation Solution
An edge detecting device that acquires and analyzes color information from both document and background regions to detect the boundary between them, using changes in pixel values to determine the tilt amount and correct the document tilt, with enhanced methods such as the use of an enhancement filter and statistical analysis to improve detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional edge detection methods are used based on shadow regions, then the detection process is simple, but the detection accuracy fails when no significant shadow region exists
Solution Approach 1:
The patent changes the detection parameter from shadow region intensity to color information differences. By acquiring color information from multiple channels (R, G, B) and calculating color differences between document and background regions, the system achieves reliable edge detection even when shadow regions are absent or insignificant.
Solution Approach 2:
The patent introduces color information as an intermediary between the document edge and the detection process. Instead of directly detecting edges from shadow regions, the system uses color differences as a mediator to identify boundary locations, enabling accurate detection in conditions where traditional shadow-based methods fail.
2Measurement precision
If color information analysis is used to detect boundaries, then the detection accuracy improves, but the processing time and computational load increase
Solution Approach 1:
The patent segments the image into document regions and background regions based on color information thresholds. By dividing the processing into distinct regions and using threshold-based classification, the system reduces computational complexity while maintaining accurate boundary detection.
Solution Approach 2:
The patent applies color information analysis selectively at potential boundary locations rather than processing the entire image uniformly. By focusing computational resources on regions where color differences indicate boundaries, the system achieves accurate detection with reduced overall processing time.
Data Source
AI summary
An edge detecting device includes processing circuitry. The processing circuitry is configured to acquire first color information and second color information in an image including a document region and a background region outside the document region. The first color information is color information of the background region and the second color information is color information of the document region. The processing circuitry is configured to detect a boundary between the background region and the document region from a change in color information between the first color information and the second color information.