Image Processing Apparatus for Robot Subject Recognition
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Solution Overview
Problem
Existing image processing techniques for robots struggle to determine optimal image processing conditions due to the small size of reduced images, making it difficult to set preferable image processing parameters for subject recognition.
Innovation Solution
An image processing apparatus connected to a display unit that receives and executes multiple sets of parameter settings for imaging and image processing, determines the acceptability of feature amounts in result images based on predetermined conditions, and displays execution results as reduced images in a list format, allowing easy identification of acceptable parameter settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sets of parameter settings are tested to determine optimal image processing conditions, then the accuracy of subject recognition is improved, but the time required for parameter determination increases
Solution Approach 1:
The system performs preliminary automated testing of multiple parameter sets before final determination, executing processing sequences in advance to evaluate feature amounts and predict which parameters will yield optimal subject recognition accuracy, thereby reducing the time required for final parameter selection
Solution Approach 2:
The system implements feedback mechanisms where determination results from automated evaluation are used to guide subsequent parameter selection, allowing the system to learn from previous evaluations and progressively refine parameter choices to achieve accurate subject recognition with minimal testing iterations
2Ease of operation
If reduced images are displayed to show processing results, then the ease of operation is improved, but the ability to accurately assess image quality deteriorates
Solution Approach 1:
The display is segmented into multiple regions showing different aspects of processing results simultaneously - reduced images for overview, determination results for quality metrics, and parameter information for reference - allowing users to assess image quality accurately while maintaining ease of operation through organized information presentation
Solution Approach 2:
The system uses color coding to indicate determination results (e.g., green for acceptable, red for unacceptable feature amounts), enabling users to quickly assess image quality and parameter suitability at a glance without needing to examine reduced images in detail, thus maintaining both ease of operation and assessment accuracy
Data Source
AI summary
An image processing apparatus includes a processor, in which the processor receives parameter settings including imaging parameters and image processing parameters, executes a processing sequence including imaging and image processing based on the parameter settings to output a result image, determines whether the result image is acceptable or not based on a predetermined determination condition, causes a display unit to display a plurality of reduced images indicating execution results of the processing sequence of the parameter settings as a plurality of result images in a list manner, and displays a determination result on a display area of the plurality of result images.