Phase-Shifting Triangulation Noise Suppression
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Solution Overview
Problem
Existing methods for creating three-dimensional images of objects, such as teeth, using phase-shifting triangulation suffer from periodic disturbances and noise, leading to reduced accuracy and increased recording time, especially when trying to improve image quality through filtration or precise control.
Innovation Solution
The method involves grouping basic camera images into multiple phases, computing phase-related images from each group, and averaging them using weighting factors to suppress noise, thereby increasing measuring accuracy without significantly prolonging the recording time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If filtration is applied to increase image quality, then measurement precision is improved, but recording time is prolonged
Solution Approach 1:
The basic images are divided into multiple groups, with each group processed separately to compute a phase-related image. This segmentation allows noise suppression through selective averaging of groups while maintaining a manageable processing timeline, resolving the contradiction between improving image quality and maintaining short recording time.
2Measurement precision
If the number of basic images is increased to reduce noise, then measurement precision is improved, but device complexity increases
Solution Approach 1:
By segmenting the basic images into groups and processing each group separately, the method reduces noise through averaging while keeping the processing complexity manageable. The segmentation approach allows systematic handling of multiple images without overwhelming system complexity.
Solution Approach 2:
The method uses a selective number of basic images grouped into sets, rather than processing all possible images. This partial action approach achieves sufficient noise reduction through group averaging while avoiding the excessive complexity that would result from processing every available image.
3Measurement precision
If precise control is implemented to reduce periodic disturbances, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The method segments the imaging process into groups of basic images taken at different times. This temporal segmentation allows periodic disturbances to be averaged out across groups, suppressing disturbances without requiring complex real-time control mechanisms.
Solution Approach 2:
The method employs periodic sampling of basic images in grouped sequences. By taking images at periodic intervals and averaging groups, the method exploits the periodic nature of disturbances to cancel them out through averaging, achieving disturbance suppression without elaborate control systems.
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 effectively suppresses noise in relief and contrast images, enhancing measuring accuracy while maintaining a short recording time, particularly beneficial for applications like dental imaging where precise data is needed quickly.
Implementation Method 1
recording the projected striped pattern as a basic image with a camera
Implementation Method 2
The method of measurement implements the principle of active triangulation, in which a single stripe of light or a striped pattern of parallel stripes of light is projected on to the object to be imaged by projecting means and the projected image is recorded by a two-dimensional camera at an angle of parallax
Data Source
AI summary
In a method of imaging an object, for dental purposes, comprises:a) projecting a striped pattern on to the object to be imaged,b) recording the projected striped pattern as a basic image (Ri) with a camera, steps a) and b) being carried out at a number of different positions of the phase relationship of the striped pattern, andc) computing an image of the object from the plurality of mutually out-of-phrase basic camera images. Provision is made for suppression of periodic disturbances in that, in step c),c1) at least two groups of basic images (R1, R2, . . . , Rn; R2, R3, . . . , Rn+1) are formed from the basic camera images (R1, . . . , Rm),c2) a phase related image (Pj) of the object to be imaged (20) is computed from each group of basic images (R1, R2, . . . , Rn; R2, R3, . . . , Rn+1),c3) the computed phase related images (P1, P2) are averaged such that a phase related image (P) having a reduced amount of noise is formed, and thatc4) an image of the object is computed from the phase related image (P) having a reduced amount of noise.