SEM Coating Thickness Analysis for Overlapping Grayscale Phases
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing thresholding methods fail to accurately segment and measure the thickness of boron nitride (BN) and silicon-doped boron nitride (SiBN) layers in next-generation interfacial coatings (IFCs) due to overlapping grayscale intensities, leading to errors in mechanical property evaluation of fiber-matrix interfaces in ceramic matrix composites.
Innovation Solution
A method and system using scanning electron microscopy (SEM) with backscattered electron detection, employing image processing software to identify inflection points in grayscale gradients for phase segmentation and thickness measurement, utilizing a maximum inscribed circle method and watershed algorithm to automate the analysis of SEM images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If traditional thresholding techniques are used for phase segmentation, then the method is simple and easy to implement, but the measurement precision deteriorates when grayscale intensities of different phases overlap
Solution Approach 1:
The patent transforms the segmentation approach from direct grayscale thresholding to gradient-based inflection point detection. By calculating the gradient of grayscale values and identifying inflection points where the gradient reaches local maxima, the method adapts to varying grayscale intensities of different phases (BN, SiBN, SiC) without requiring manual threshold adjustment, thereby maintaining both ease of implementation and measurement precision
Solution Approach 2:
The patent transitions from analyzing grayscale intensity values in one dimension to analyzing the gradient of grayscale values in a transformed dimension. This dimensional transformation allows the method to detect phase boundaries through inflection points in the gradient profile, which remain distinct even when the original grayscale intensities of adjacent phases overlap
2Adaptability or versatility
If standard thresholding methods are applied to next-generation IFCs with SiBN layers, then the analysis routine remains consistent with traditional methods, but the reliability of segmentation deteriorates due to overlapping intensities
Solution Approach 1:
The patent modifies the analysis parameter from direct grayscale thresholding to gradient-based inflection point detection. This parameter change enables the method to reliably distinguish between BN, SiBN, and SiC phases by detecting the characteristic inflection points in the gradient profile, which remain identifiable even when grayscale intensities overlap, thereby maintaining segmentation reliability across different IFC compositions
Solution Approach 2:
The patent introduces the gradient of grayscale values as an intermediary parameter between the original grayscale image and the final segmentation result. This intermediary transformation highlights phase boundaries through inflection points, serving as a reliable mediator that connects the input image data to accurate thickness measurements even when direct thresholding would fail
3Measurement precision
If manual threshold adjustment is performed for each image or batch, then the measurement precision can be improved, but the productivity deteriorates due to time-consuming manual intervention
Solution Approach 1:
The patent implements an automated inflection point detection algorithm that self-adjusts to identify phase boundaries without manual intervention. The algorithm automatically calculates gradients, detects inflection points, and determines thickness measurements, enabling the system to process multiple images and batches efficiently while maintaining high measurement precision through adaptive boundary detection
Solution Approach 2:
The patent employs a feedback mechanism where the gradient calculation and inflection point detection automatically adapt to the specific grayscale characteristics of each image. The algorithm uses the detected inflection points to refine boundary identification, creating a self-correcting system that maintains precision across varying conditions without requiring manual threshold adjustment for each case
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
Accurately segments and measures BN and SiBN thicknesses in IFCs, enabling reliable mechanical property evaluation of fiber-matrix interfaces, applicable to ceramic matrix composites and other multiphase materials with similar grayscale contrasts.
Implementation Method 1
Scanning electron microscopy (SEM) imaging with a backscattered electron detector (BSD) can be used to produce images of the material layers
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A method for determining coating thicknesses of a coated fiber embedded in a matrix is presented. A scanning electron microscope (SEM) image is captured of a composite material having multiple coated fibers embedded in a matrix. This image depicts a cross-sectional portion of the composite material. A processor identifies a region of the image depicting a cross-section of one among the plurality of coated fibers, and generates a line graph of a gradient of grayscale values as a function of a line scan. The line scan traverses across the image along a radius of the coated fiber, and extends between an interior location of the coated fiber and an exterior region outside the coated fiber. The processor identifies inflection points in the line graph of the gradient of grayscale values as a function of the line scan traverse location, and determines coating thickness based on these inflection points.