Scanned Image Distortion Correction Using Circumscribed Rectangles

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Solution Overview

Problem

Existing image distortion correction methods face challenges in accurately correcting distortion in scanned images when characters have aspect ratios not equal to 1 and when characters are closely located in the scanning directions, leading to improper formation of minimal circumscribing rectangles and character lines.

Innovation Solution

An image distortion correction apparatus and method that uses a scanner and image data processor to form circumscribed rectangles and extract character lines, adjusting the rectangle lengths in the main scanning direction to correct distortion, even when characters are closely located, by determining correction ratios and selecting optimal character lines based on predetermined criteria.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If minimal circumscribing rectangles are formed based on character aspect ratio for distortion correction, then distortion correction accuracy is improved when aspect ratio is 1, but correction accuracy deteriorates when aspect ratio is larger or smaller than 1

Engineering Contradiction:
Improvedistortion correction accuracyVSAvoidapplicability to various aspect ratios
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The patent changes the basis for distortion correction from character aspect ratio to the ratio of circumscribing rectangle lengths in main scanning and sub-scanning directions. This parameter change allows the method to work effectively regardless of character aspect ratio, resolving the contradiction between correction accuracy and adaptability to various aspect ratios.

Inventive Principle:
Principle #35Parameter changes

2Manufacturing precision

If minimal circumscribing rectangles are formed for each character, then distortion correction can be performed, but proper rectangle formation becomes difficult when characters are located closely in the sub-scanning direction

Engineering Contradiction:
Improverectangle formation accuracyVSAvoiddifficulty of rectangle formation
Core Design Contradiction:
Manufacturing precisionVSEase of operation

Solution Approach 1:

The patent merges adjacent circumscribing rectangles in the sub-scanning direction when characters are closely located, forming a combined rectangle that encompasses multiple characters. This merging approach allows distortion correction to proceed even when individual character rectangles cannot be properly formed due to close spacing.

Inventive Principle:
Principle #5Merging (Combining)

3Measurement precision

If minimal circumscribing rectangles are used to determine character lines, then character line extraction can be performed, but proper character line determination becomes difficult when characters are located closely in the main scanning direction

Engineering Contradiction:
Improvecharacter line extraction accuracyVSAvoidcomplexity of character line determination
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent addresses character line determination by considering the spatial distribution of circumscribing rectangles in both main scanning and sub-scanning directions. When characters are closely located in the main scanning direction, the method uses the vertical positioning information from the sub-scanning direction to properly distinguish and determine multiple character lines, adding a dimensional perspective to the analysis.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Data Source

PatentUS7602995B2Correcting image distortion caused by scanning
Publication Date: 2009.10.13 RICOH CO LTD
  • US7602995B2 patent drawing
  • US7602995B2 patent drawing
  • US7602995B2 patent drawing

AI summary

An apparatus, system, method, and computer program product is disclosed, each capable of correcting distortion in a scanned image, using at least a character line extracted from the scanned image. The character line is extracted based on a circumscribed rectangle, representing the vertical component of the character. The distortion in the scanned image is corrected based on the length of the circumscribed rectangle in the main scanning direction.