Edge Detection Parameter UI for Machine Vision
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Solution Overview
Problem
Machine vision inspection systems face difficulties in allowing unskilled users to adjust edge detection parameters effectively, particularly due to the complexity of parameters like TH, THR, and THS, which are challenging to understand and visualize, especially when dealing with various edge conditions and workpiece materials.
Innovation Solution
A multi-dimensional parameter space representation is displayed, allowing users to adjust edge detection parameters graphically within a user interface, with synchronized edge feature representation windows that show the impact of parameter changes, enabling users to intuitively select optimal parameter combinations for reliable edge detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional text-based parameter adjustment methods are used for edge detection, then parameter precision can be maintained, but user accessibility and ease of operation deteriorate significantly
Solution Approach 1:
The patent introduces a graphical user interface as an intermediary between the user and the complex edge detection parameters. The GUI provides visual tools such as edge detection previews, histogram displays, and interactive parameter sliders that translate complex mathematical parameters into intuitive visual adjustments, making the system accessible to users without deep technical knowledge while maintaining measurement precision
Solution Approach 2:
The patent transforms the parameter adjustment process from text-based numerical input to graphical visual adjustment. By changing parameters from abstract numerical values to visual representations (such as threshold curves, edge detection previews, and interactive graphs), the system enables users to adjust edge detection parameters intuitively through visual feedback rather than requiring understanding of complex parameter relationships
2Measurement precision
If multiple edge detection parameters are adjusted simultaneously, then detection accuracy improves, but the difficulty of visualizing and understanding parameter interactions increases
Solution Approach 1:
The patent segments the complex parameter adjustment process into multiple independent visual components. Each parameter or parameter combination is displayed in separate visual elements (such as individual threshold curves, separate histogram displays, and divided preview windows), allowing users to adjust and visualize each parameter's effect independently while maintaining the ability to control multiple parameters simultaneously for optimal detection accuracy
Solution Approach 2:
The patent implements real-time visual feedback mechanisms that display the effect of parameter changes on edge detection results immediately. Preview windows show detected edges as parameters are adjusted, histograms update to reflect parameter changes, and the system provides visual confirmation of detection accuracy, enabling users to understand parameter interactions through direct visual observation rather than complex mathematical relationships
3Adaptability or versatility
If manual parameter adjustment is performed, then adaptability to different workpiece materials is achieved, but the time required for setup increases
Solution Approach 1:
The patent provides pre-configured parameter sets and default graphical settings that are optimized for common workpiece materials and edge conditions. Users can start with pre-established parameter configurations and only adjust specific parameters when needed, rather than having to manually configure all parameters from scratch, thereby reducing setup time while maintaining adaptability to different materials through the graphical adjustment tools
Data Source
AI summary
A user interface for setting parameters for an edge location video tool is provided. The user interface includes a multi-dimensional parameter space representation that allows a user to adjust a single parameter combination indicator in order to adjust multiple edge detection parameters at once. One or more edge feature representation windows may be provided which indicate the edge features detectable by the current configuration of the edge detection parameters.