Optical Scanning Device Using Image Segmentation and Merging
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Solution Overview
Problem
Conventional optical scanning methods require significant adjustment efforts for each object, leading to measurement uncertainties and suboptimal depth of field, especially when scanning multiple objects sequentially.
Innovation Solution
The method involves displacing the detection device and object relative to each other in successive scanning positions with a scanning step size, generating scanned images of partial regions larger than the step size, breaking them down into part images, and combining these to form result images based on predetermined criteria, reducing the need for precise adjustments and enhancing image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional optical scanning methods are used with individual device adjustments for each scan, then measurement precision can be maintained, but device complexity and adjustment outlay increase significantly
Solution Approach 1:
The scanning process is segmented into multiple scanning steps where the detection device and object are displaced into successive scanning positions. Each step captures a portion of the overall image, and the segments are later combined through image processing to form the complete measurement image, eliminating the need for complex adjustments between scans.
Solution Approach 2:
The invention creates multiple copies of the scanning process at different positions rather than adjusting a single scan. By capturing multiple images at successive positions and combining them through image processing, the system produces a comprehensive measurement image without requiring complex device reconfiguration.
2Measurement precision
If multiple objects are scanned sequentially with individual adjustments, then measurement accuracy is maintained, but productivity decreases
Solution Approach 1:
The system performs preliminary actions by capturing multiple scanning positions in advance during a single scanning operation. The detection device collects image data from multiple positions sequentially, and image processing combines these preliminary captures into a complete measurement image, eliminating the need for repeated adjustments when scanning multiple objects.
Solution Approach 2:
Multiple scanned images from successive positions are merged through image processing to create a single comprehensive measurement image. This combining process allows the system to maintain measurement accuracy while improving productivity, as the merged image contains all necessary information without requiring separate adjustment procedures for each object.
3Measurement precision
If scanning step size is reduced to capture more detail, then measurement precision improves, but scanning time increases
Solution Approach 1:
The system optimizes the scanning step size parameter to achieve an optimal balance between measurement precision and scanning time. By carefully selecting the displacement distance between successive scanning positions, the system captures sufficient detail for accurate measurement while minimizing the total number of scanning steps required.
Solution Approach 2:
The invention replaces the need for mechanical adjustments between scans with an automated image processing system. Multiple images captured at optimized scanning intervals are combined through computational methods, substituting mechanical reconfiguration with digital processing to maintain precision while reducing scanning time.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces measurement uncertainties and facilitates efficient scanning by allowing for the selection of high-quality object measurement images without requiring optimal device adjustments, saving time and improving scanning accuracy.
Implementation Method 1
The detection surface may comprise photodiodes or photomultipliers, for example. Two-dimensional row sensors and three-dimensional image sensors are also known, with which an intensity distribution of received measurement light can be optically detected.
Data Source
AI summary
A method and device for optically scanning an object is provided. A detection device optically scans a scanning region of the object by displacing the detection device and the object relative to one another into successive scanning positions spaced apart by a scanning step size along a scanning direction in an object plane. An optical imaging device generates a plurality of scanned images by imaging a partial scanning region from the object plane onto a detection surface in an image plane in the scanning positions. The plurality of scanned images are broken down into scanned part images and are combined to generate combined result images. At least one object measurement image is selected from the combined result images in accordance with one or more predetermined selection criteria.