Image Measuring Apparatus with Trajectory-Guided Edge Detection
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Solution Overview
Problem
Conventional image measurement processes require repetitive selection and detection of edges, which increases the workload for operators.
Innovation Solution
An image measuring apparatus and program that allows operators to trace trajectories on an image display, with an edge detection unit that automatically detects edges based on the traced trajectory, reducing the need for repetitive edge selection and detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional edge detection methods are used where operators manually select edges and apply detection tools, then measurement precision can be maintained, but the workload and time consumption increase significantly
Solution Approach 1:
The system performs preliminary edge detection across the entire image before the operator makes selections. This pre-processing step identifies potential edges and organizes them, so that when the operator selects a trajectory, the system can quickly retrieve and refine relevant edges rather than performing full detection from scratch.
Solution Approach 2:
The system creates a digital copy of the operator's traced trajectory and uses this copy to automatically guide the edge detection process. The trajectory copy serves as a template that the system matches against detected edges, enabling automated refinement without requiring manual edge-by-edge selection.
2Productivity
If automated edge detection is implemented to reduce workload, then productivity improves, but the complexity of the detection system increases
Solution Approach 1:
The edge detection system is designed to handle multiple types of edges (straight lines, curves, arcs) using a unified detection algorithm. The same core detection mechanism adapts to different edge types based on the trajectory shape, eliminating the need for separate detection tools for each edge type and reducing overall system complexity.
Solution Approach 2:
The operator's trajectory selection acts as an intermediary between the automated detection system and the final edge selection. Rather than the system directly detecting all edges or the operator manually specifying each edge, the trajectory serves as a guide that mediates the detection process, simplifying both the automation logic and user interaction.
3Measurement precision
If detailed confirmation of edge positions is performed manually, then measurement accuracy is maintained, but the operational complexity increases
Solution Approach 1:
The system provides visual feedback by overlaying detected edges on the image and allowing operators to trace trajectories over these edges. The system continuously refines edge detection based on the trajectory feedback, adjusting detection parameters and re-detecting edges to match the operator's intended path, thereby maintaining precision while simplifying interaction.
Solution Approach 2:
The edge detection process is made dynamic and adaptive rather than static. The system adjusts detection sensitivity, search areas, and algorithm parameters based on the trajectory being traced and the local image characteristics, enabling accurate edge detection that adapts to different measurement contexts without requiring manual configuration.
Data Source
AI summary
An image measuring apparatus, according to the present invention, captures an image of the measurement object and measures the dimensions of the measurement point of the measurement object by analyzing the image. The image measuring apparatus comprises: a display unit that displays the image of the measurement object; an input unit that accepts input of the trajectory traced by an operator on the image displayed on the display unit; an edge detection unit that detects an edge based on the traced trajectory on the image; and a measurement performing unit that performs measurement based on one or more detected edges.