Image Processing Apparatus Chromatic Marker Region Classification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing technologies require manual labor to classify marker regions on documents of unknown format and are prone to errors in recognizing symbol characters, necessitating the use of multiple markers and labor-intensive processes.
Innovation Solution
An image processing apparatus that detects and classifies highlighted and circled regions using a chromatic marker, allowing for automatic classification and processing of marker regions without the need for multiple markers, by employing a processor to analyze RGB image data, remove noise, and determine the type of marker region based on chromatic color detection and contour analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual classification of marker regions is performed on documents of unknown format, then classification accuracy can be maintained, but labor intensity increases significantly
Solution Approach 1:
The system performs automatic classification of marker regions by detecting chromatic colors and analyzing contour patterns, eliminating the need for manual classification while maintaining accuracy through algorithmic analysis of highlight and circle patterns
Solution Approach 2:
Manual classification operations are replaced by an automated image processing system that uses chromatic color detection and contour analysis algorithms to identify and classify marker regions based on their visual patterns
2Reliability
If symbol characters are written in marker regions for recognition, then region identification is possible, but error rate increases and user labor is required
Solution Approach 1:
The system automatically identifies marker regions through chromatic color detection and contour pattern recognition without requiring users to write symbol characters, eliminating the labor and error-prone nature of manual symbol entry
Solution Approach 2:
The system uses chromatic color detection to identify marker regions, leveraging the color properties of highlighters and markers to automatically distinguish marked regions from unmarked areas without requiring additional symbolic input
3Adaptability or versatility
If multiple markers are used to differentiate marker region types, then classification capability is improved, but device complexity increases
Solution Approach 1:
The system uses chromatic color detection to differentiate between various marker region types, analyzing color properties and contour patterns to classify regions as highlights, circles, or other patterns without requiring multiple physical markers
Solution Approach 2:
The system segments marker regions based on their visual characteristics such as contour patterns and color properties, automatically classifying different region types through pattern recognition rather than requiring distinct marker types
4Measurement precision
If coordinates are designated for each original document to classify marker regions, then classification precision is maintained, but ease of operation deteriorates
Solution Approach 1:
The system automatically performs marker region classification by detecting chromatic colors and analyzing contour patterns in the scanned document image, eliminating the need for users to manually designate coordinates for each document
Solution Approach 2:
The system performs automatic classification based on visual pattern recognition of marker regions, pre-establishing classification rules that work across documents of any format without requiring document-specific coordinate setup
Data Source
Figure 1
Figure 2~3
Figure 4~8
AI summary
According to one embodiment, an image processing apparatus includes a scanner, a memory, and a processor. The scanner acquires a read image of an original document. The memory stores the read image of the original document that is acquired by the scanner. The processor detects a highlighted region including a region that is highlighted with a chromatic color in the read image of the original document which is stored in the memory and a circled region including a region circled by the chromatic color, and classifies the highlighted region as a region for first processing and classifies the circled region as a region for second processing.