Document Image Extraction Using Frequency-Based Area Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing systems face difficulties in accurately extracting document images from images with backgrounds that are not clearly distinguishable from the document colors, particularly when using non-black backing sheets, leading to incomplete or incorrect detection of document areas.
Innovation Solution
An image processing apparatus that includes a first extraction unit for low-frequency characteristics, a second extraction unit for high-frequency characteristics, and a document area estimation module that combines these extractions based on whether the background is white, allowing for precise extraction of document images regardless of the background color.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a black backing sheet is used to improve document extraction accuracy, then measurement precision improves, but device complexity and ease of operation worsen due to mandatory black background requirement
Solution Approach 1:
The patent changes the parameter of background color from fixed (black only) to variable (any color), allowing the system to adapt to different backing sheet colors while maintaining accurate document extraction through color-based differentiation algorithms
Solution Approach 2:
Instead of requiring the background to be black to enable extraction, the patent inverts the approach by enabling extraction of any document color against any background color through advanced image processing that identifies document regions based on color patterns rather than assuming a fixed black background
2Device complexity
If simple extraction methods are used to maintain device simplicity, then device complexity is reduced, but measurement precision deteriorates when backgrounds are not clearly distinguishable
Solution Approach 1:
The patent introduces dynamic adjustment of extraction parameters based on the detected background color, allowing the system to automatically adapt its processing strategy to match the specific characteristics of each image, thereby maintaining high accuracy without requiring complex fixed-rule systems
Solution Approach 2:
The system employs feedback mechanisms where the detected background color informs subsequent extraction parameter selection, creating a closed-loop process that continuously optimizes extraction accuracy based on actual image conditions while maintaining relatively simple overall system architecture
Data Source
AI summary
An image processing apparatus includes a first extraction unit, a second extraction unit, and a third extraction unit. The first extraction unit extracts a first area in an image that includes plural document images, the first area having low-frequency characteristics. The second extraction unit extracts a second area in the image, the second area having high-frequency characteristics. The third extraction unit extracts areas of the document images by combining the first area and the second area in accordance with whether a background of the image is white.


