Parameter Determination Assisting Device for Image Processing Optimization
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Solution Overview
Problem
The optimization of parameters for image processing devices in manufacturing is a labor-intensive and time-consuming process, requiring iterative testing and evaluation to achieve stable results, and existing methods are not universally applicable to different types of measuring target objects.
Innovation Solution
A parameter determination assisting device and program that generate and evaluate multiple parameter candidates to quickly and easily determine optimal settings for image processing, using an input unit, candidate generation unit, acquiring unit, evaluation unit, and output unit to compare processing results with expected outcomes and output evaluation results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If iterative testing and evaluation are performed to optimize parameters, then processing stability and reliability are improved, but the time required and labor intensity increase significantly
Solution Approach 1:
The patent applies preliminary action by pre-defining a comprehensive set of parameters and their valid ranges before actual processing. The parameter setting apparatus automatically determines optimal parameters by evaluating multiple candidate sets against pre-established criteria, eliminating the need for iterative manual testing and significantly reducing the time required to achieve stable processing results
Solution Approach 2:
The parameter setting apparatus performs self-service by automatically evaluating and selecting optimal parameter sets without requiring manual iterative adjustment. The system independently compares processing results from different parameter candidates and determines the optimal settings based on predefined evaluation criteria, thereby reducing labor intensity and time consumption while maintaining processing reliability
2Measurement precision
If multiple parameters are adjusted to achieve stable processing results, then measurement accuracy is improved, but the complexity of the parameter setting process increases
Solution Approach 1:
The patent applies segmentation by dividing the parameter optimization process into distinct manageable components: a parameter definition stage where parameters and their ranges are pre-established, and a parameter determination stage where the apparatus automatically selects optimal values. This segmentation simplifies the overall complexity by separating the definition of measurement criteria from the actual parameter selection process
Solution Approach 2:
The parameter setting apparatus implements feedback mechanisms by automatically evaluating processing results from multiple parameter candidates and using this information to determine optimal parameters. The system compares measurement accuracy across different parameter sets and provides feedback to select the most appropriate settings, thereby achieving high measurement precision while reducing the complexity of manual parameter adjustment
3Productivity
If predefined evaluation logic is used for automatic parameter determination, then parameter setting speed is improved, but adaptability to different measuring target objects decreases
Solution Approach 1:
The patent applies dynamics by making the evaluation logic adaptable rather than fixed. The parameter setting apparatus allows users to define custom evaluation criteria and parameter ranges specific to different measuring target objects. This dynamic configuration enables the system to maintain high parameter setting speed through automatic determination while achieving broad adaptability across different measurement applications by adjusting the evaluation logic to match specific object characteristics
Data Source
AI summary
This invention provides a parameter determination assisting device and a parameter determination assisting program enabling a more rapid and easy determination of a parameter to be set in a processing device, which obtains a processing result by performing a process using a set of parameters defined in advance on image data obtained by imaging a measuring target object. A user can easily select an optimum parameter set when a determination result and a statistical output are displayed in a list for each of a plurality of trial parameter candidates. For instance, while trial numbers “2”, “4”, and “5”, in which the number of false detections is zero, can perform a stable process, the parameter set of the trial number “2” is comprehensively assumed as optimum since the trial number “2” can perform the process in the shortest processing time length.