Automated Geometrical Element Identification in Image Measurement
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Solution Overview
Problem
Existing image measuring tools require time-consuming function switching when processing objects of different geometrical shapes, making it inefficient for measuring multiple objects with varying shapes.
Innovation Solution
An automated system and method that identifies geometrical elements in images without needing to switch functions, using a collecting module for dot coordinates, a curve fitting and identifying module, a storing module, and an outputting module to determine and output the geometrical shape of a dot muster based on the number and arrangement of dots, employing line-offset and circle-offset calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual function switching is used to measure different geometrical shapes, then measurement functionality is maintained, but processing time increases significantly
Solution Approach 1:
The system automatically identifies geometrical elements and selects appropriate measurement functions without manual intervention. The image processing module autonomously detects shapes (circles, lines, points) and triggers corresponding measurement algorithms, eliminating the need for operators to manually switch functions and significantly reducing processing time.
Solution Approach 2:
The system performs preliminary image analysis to identify geometrical elements before measurement begins. By pre-detecting shapes and preparing measurement parameters in advance, the system eliminates the need for manual function switching during the measurement process, thereby reducing overall processing time.
2Productivity
If automated identification is implemented, then processing time is reduced, but system complexity increases
Solution Approach 1:
The image processing module is designed as a multi-functional unit that combines image acquisition, geometrical element identification, and measurement function selection into a single integrated component. This universal module handles various shapes (circles, lines, points) through unified algorithms, reducing system complexity compared to having separate dedicated modules for each function.
Solution Approach 2:
The patent merges image processing functions (acquisition, analysis, identification) and measurement functions into an integrated system. The image processing module combines multiple operations—detecting geometrical elements, calculating parameters, and selecting measurement functions—into a single coordinated unit, thereby reducing overall system complexity while maintaining high productivity.
Data Source
AI summary
An identifying system is provided for identifying a geometrical element in an image automatically. The image may be retrieved from an image capturing apparatus and is imported in a coordinate system. The identifying system includes: a collecting module for collecting dots from the image as a dot muster and retrieving coordinates of all dots of the dot muster from the coordinate system; a curve fitting and geometrical element identifying module for curve fitting according to the coordinates of all the dots of the dot muster to identify what geometrical element the dot muster is; a storing module for storing the coordinates of all the dots of the dot muster, data produced during the curve fitting process, and result data of curve fitting and geometrical element identifying; and an outputting module for outputting the result data. A related identifying method is also provided.