Image Processing System Parameter Initialization
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Solution Overview
Problem
Current image processing systems for character recognition in the FA field face challenges in determining initial parameter values efficiently, requiring extensive learning processes and manual adjustments, which are time-consuming and difficult to manage.
Innovation Solution
An image processing system and method that includes a first designation part for setting a measurement region, a second designation part for character format, a recognition part for character recognition, and a change part that adjusts parameters to ensure the recognition result exceeds a predetermined probability, facilitating easy determination of initial parameter values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If learning processing is performed using many OK images and NG images to determine proper parameters, then recognition accuracy is improved, but processing time increases significantly
Solution Approach 1:
The system performs preliminary character format designation before actual recognition processing. By pre-establishing the character format (numerical, alphabetic, alphanumeric, or symbolic), the system prepares recognition parameters in advance, eliminating the need for time-consuming learning processing with multiple images while maintaining high recognition accuracy.
2Measurement precision
If multiple parameters are adjusted manually to optimize character recognition, then recognition accuracy is improved, but operation complexity increases
Solution Approach 1:
The system automatically determines recognition parameters based on the designated character format. When character format is set (numerical, alphabetic, alphanumeric, or symbolic), the system self-adjusts parameters such as threshold values and matching criteria without requiring manual intervention, thereby maintaining high accuracy while simplifying operation.
Solution Approach 2:
The system changes recognition parameters dynamically according to the designated character format. By establishing correspondence between character formats and parameter sets, the system automatically selects appropriate parameters for each recognition task, eliminating manual adjustment complexity while optimizing recognition performance.
3Measurement precision
If extensive learning sample patterns are processed to determine initial parameter values, then parameter determination accuracy is improved, but device complexity increases
Solution Approach 1:
The system extracts and utilizes only the essential character format information (numerical, alphabetic, alphanumeric, or symbolic) as the key parameter for determining recognition settings. By removing the complexity of processing multiple learning sample patterns and focusing on this single essential format designation, the system achieves accurate parameter determination with reduced device complexity.
Data Source
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AI summary
PROBLEM: To provide an image processing system and an image processing method each capable of easily determining an initial value of a parameter relating to character recognition in image processing of acquiring character information from an input image by character recognition. MEANS FOR SOLVING PROBLEM: An image processing system for acquiring character information from an input image includes: a first designation part that receives a setting of a measurement region with respect to a reference image obtained by imaging a target; a second designation part that receives a character format indicating a restricting condition of each character; a recognition part that performs character recognition to a partial image included in the measurement region in accordance with the character format; and a change part that changes a parameter of the character recognition in accordance with a result of the character recognition. The change part determines an initial value of the parameter by changing the parameter such that the result of the character recognition exceeds a predetermined probability.