Measurement Setting Support for Pin Shape Noise Separation
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Solution Overview
Problem
Existing measurement technologies face challenges in accurately distinguishing between measurement objects and noise, particularly in optical measurements of pins and flaws, leading to deteriorated measurement accuracy.
Innovation Solution
A setting support device and program that facilitate the setting of measurement elements and items by receiving shape data, allowing for the designation of measurement regions and target regions, and generating display screens with height images to improve the distinction between objects and noise, using tools and filter parameters to enhance measurement accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If optical measurement is performed on pins or flaws, then measurement capability is provided, but noise is included in the image making it difficult to correctly grasp the shape, deteriorating measurement accuracy
Solution Approach 1:
The patent divides the image processing into distinct segments: first obtaining a height image, then a gradient image, and finally performing division based on both. This segmentation allows noise to be filtered out in the gradient domain while preserving actual measurement features, resolving the contradiction between measurement capability and noise interference.
Solution Approach 2:
The patent introduces a gradient image as an intermediary between the raw height image and the final measurement result. The gradient image serves as a mediator that highlights edges and features while suppressing noise, enabling accurate division and measurement without direct contamination from noise in the original image.
2Productivity
If division between object and noise is performed automatically, then measurement efficiency is improved, but measurement accuracy deteriorates due to inability to correctly grasp object shape
Solution Approach 1:
The patent performs preliminary actions by first obtaining both height images and gradient images before performing division. This preliminary processing prepares the data in advance with noise-reduced features, enabling subsequent automatic division to achieve both high efficiency and high accuracy in object shape recognition.
Solution Approach 2:
The patent changes the parameter space by transforming from raw height data to gradient data, and then performing division in this transformed space. This parameter transformation enables the system to automatically distinguish objects from noise while preserving accurate shape information, achieving both efficiency and precision.
3Ease of operation
If filter parameters are set automatically, then ease of operation is improved, but measurement accuracy may deteriorate due to inappropriate filter settings
Solution Approach 1:
The patent implements self-service by enabling the system to automatically perform division based on the obtained height and gradient images. The system serves itself by autonomously determining appropriate division criteria from the processed images, eliminating the need for manual filter parameter setting while maintaining high measurement accuracy through the dual-image approach.
Data Source
AI summary
To improve measurement accuracy of a pin even when a tip shape of the pin is different. A setting unit of a setting support device for a measurement device includes a tool for measuring a predetermined measurement object as a measurement item, receives designation of a measurement region, and sets a tool including a measurement region for measuring the measurement object and a filter parameter according to the designation of the measurement region and a size of the target region and/or a representative height in the target region. A symbol corresponding to the target region is displayed on the height image, a measurement object corresponding to the filter parameter in the measurement region is specified on the basis of the setting of the tool, and the measurement of the tool is executed based on the specified measurement value of the measurement object.