Rapid Vector Coordinate Alignment Using Threshold-Guided Edge Detection
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Solution Overview
Problem
Existing alignment tools in GIS and graphic design software are inefficient and require specialized knowledge, leading to labor-intensive, error-prone manual adjustments of vector coordinates, which can distort shapes and compromise spatial relationships.
Innovation Solution
A computer-implemented method using a graphical user interface with a cursor and threshold indicator for edge detection, allowing users to select alignment methods like 'meet in the middle' or 'meet at first edge', with real-time visual feedback and automated edge alignment calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual adjustment of individual vertex points is used for aligning vector coordinates, then alignment precision can be achieved, but the process becomes labor-intensive and time-consuming
Solution Approach 1:
The system automatically detects edges and calculates alignment points without requiring manual intervention. The computer identifies potential edges within a threshold distance, determines alignment methods, and computes new alignment points autonomously, eliminating the need for users to manually adjust each vertex while maintaining high precision
Solution Approach 2:
The patent replaces manual mechanical adjustment operations with automated computational processes. Instead of users physically moving vertices, the system uses algorithms to detect edges, calculate optimal alignment points, and automatically modify vector coordinates, substituting human labor with computational automation
2Ease of operation
If basic snapping tools are used for aligning vector elements, then the process is simpler to operate, but alignment precision and geometric integrity may be compromised
Solution Approach 1:
The system provides real-time visual feedback by displaying a threshold indicator around the cursor that shows the detection area for potential edges. This feedback mechanism allows users to see exactly what the system will detect and align, enabling precise control while maintaining ease of operation through intuitive visual guidance
Solution Approach 2:
The threshold indicator dynamically adjusts and moves with the cursor position, allowing the detection area to adapt to different locations in the vector data. This dynamic behavior enables the system to maintain both simplicity of operation and precision by allowing users to explore and control alignment targets interactively
3Adaptability or versatility
If existing alignment tools with complex functionalities are used, then versatility is improved, but the user interface becomes less intuitive and requires specialized knowledge
Solution Approach 1:
The threshold indicator serves as an intermediary between the user and the complex alignment algorithms. It provides a simple visual representation of the detection area and potential alignment targets, mediating between user intent and the sophisticated edge detection and calculation processes, thereby making the system intuitive while maintaining versatility
Solution Approach 2:
The system creates a visual copy or representation of the detection threshold around the cursor, allowing users to interact with a simplified visual model rather than directly manipulating complex alignment parameters. This visual copying approach makes the interface intuitive while preserving the underlying sophisticated functionality
4Productivity
If automated edge detection with threshold indicator is implemented, then alignment speed and ease of use are improved, but the system complexity increases
Solution Approach 1:
The alignment process is segmented into distinct automated stages: edge detection within the threshold area, identification of potential alignment targets, selection of alignment methods, and calculation of new alignment points. This segmentation allows the system to handle complexity internally through modular automated processes while presenting a simple, fast interface to users
Data Source
AI summary
A computer-implemented method for aligning vector coordinates may include receiving vector data representing boundaries of vector-represented features. A visual representation of the vector data may be displayed on a graphical user interface. A cursor and threshold indicator may be provided on the interface. At least two potential edges for alignment may be identified within the threshold indicator area. A user selection of an alignment method and input defining an extent of alignment may be received. New alignment points may be calculated based on the selected method and defined extent. The vector data may be modified to incorporate the calculated new alignment points. The method may provide real-time visual feedback during the alignment process. Configuration options may allow customization of the threshold indicator size, alignment method, and other parameters.