Complex Vibration Image Denoising for Defect Inspection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing defect inspection systems struggle to effectively suppress noise in images generated by measuring periodic vibrations, as noise suppression methods fail to account for the changing noise state due to periodic vibration changes.
Innovation Solution
An inspection system that utilizes an excitation unit to generate elastic waves, a measurement unit to measure vibration states, and an image processing unit to suppress noise by comparing complex numbers representing pixels and applying weights based on similarity degrees between target and reference image regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If noise suppression processing is executed for the generated image, then noise is suppressed, but the noise that changes in accordance with the vibration state is not sufficiently suppressed
Solution Approach 1:
The patent applies dynamics by making the noise suppression method adaptive to changing conditions. The system dynamically adjusts the noise suppression approach based on whether noise is random or periodic (synchronized with vibration), allowing the suppression effectiveness to respond to varying noise characteristics throughout the measurement process
Solution Approach 2:
The patent changes the parameter of noise suppression by introducing phase information and temporal correlation as new dimensions for noise characterization. By utilizing the periodic nature of noise and its relationship with vibration phase, the system transforms static noise suppression into a dynamic process that adapts to changing noise patterns
2Measurement precision
If the image is obtained by measuring the vibration state that changes periodically, then the vibration state is measured, but the noise state changes in accordance with the vibration state making noise suppression difficult
Solution Approach 1:
The patent implements feedback by using the measured vibration state information to inform the noise suppression process. The system feeds back the periodicity and phase information from the vibration measurement to guide the noise suppression algorithm, creating a closed-loop system where measurement information is used to improve measurement quality
Solution Approach 2:
The patent leverages the periodic nature of both the vibration state and the associated noise by synchronizing the noise suppression process with the vibration period. By identifying and exploiting the periodic patterns, the system can distinguish between signal and noise more effectively throughout each vibration cycle
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
The system effectively suppresses noise in complex number images by using similarity-based weights, ensuring accurate noise suppression even when the noise state changes with periodic vibrations.
Implementation Method 1
an excitation unit that excites an elastic wave in an inspection target
Implementation Method 2
in a case where the image is generated by measuring the vibration state by a laser interference method
Data Source
AI summary
An inspection system includes an image processing unit that suppresses noise of a complex number image on which pixels are represented by a complex number indicating a periodic change in a vibration state of an inspection target. The image processing unit acquires a degree of similarity between a pixel included in a target image region defined in the complex number image and a pixel included in a plurality of reference image regions defined in the complex number image separately from the target image region by comparing complex numbers representing pixels, and executes noise suppression processing of the target image region by using a weight based on the acquired degree of similarity.