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Digital Processing Techniques for Transmission Electron Microscope Images of Combustion-generated Soot. Bing Hu and Jiangang Lu Department of Civil and Environmental Engineering University of Wisconsin – Madison. Motivation and Background.

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Digital Processing Techniques for Transmission Electron Microscope Images of Combustion-generated Soot

Bing Hu and Jiangang Lu

Department of Civil and Environmental Engineering

University of Wisconsin – Madison


Motivation and background
Motivation and Background Microscope Images of Combustion-generated Soot

  • Quantified characterization of flame-generated soot is critical for soot research.

  • TEM-based study of soot properties is a reliable approach to quantifying soot size and morphology.

  • Limited to the quality of TEM images, this approach may be facing challenges.


Objective
Objective Microscope Images of Combustion-generated Soot

  • By applying extensive digital image processing techniques to TEM images of soot particles, images with high qualities in senses of machine detection as well human visual inspection can be achieved.

  • Developed an accurate as well as efficient computational analysis of soot size and morphology based on automatic computer detection.


Typical tem images of soot
Typical TEM Images of Soot Microscope Images of Combustion-generated Soot

  • Low contrast, noise

  • Pseudo edges caused by electron diffraction


Approach
Approach Microscope Images of Combustion-generated Soot

  • Enhance contrast by gray level transformation.

  • Reduce noise by low-pass filtering.

  • Eliminate pseudo bright edges by blurring filtering.

  • Segmentation of foreground from background by thresholding.

  • Compensate for imperfect thresholding by morphological processing.

  • Identify objects by morphology processing and segmentation.

  • Computational analysis based on pixel value.


Contrast enhancement
Contrast Enhancement Microscope Images of Combustion-generated Soot


Noise fines detail removal
Noise/fines detail Removal Microscope Images of Combustion-generated Soot


Thresholding
Thresholding Microscope Images of Combustion-generated Soot

  • Global Thresholding

  • Adaptive Local Thresholding


Morphologic processing
Morphologic Processing Microscope Images of Combustion-generated Soot


Object extraction and measurement
Object Extraction and Measurement Microscope Images of Combustion-generated Soot

  • Identify objects through extracting connected components.

  • Measure maximum length.

  • Measure projected area.


Summary and conclusions
Summary and Conclusions Microscope Images of Combustion-generated Soot

  • An economical, accurate, and rapid image processing and analysis approach has been developed for analyzing soot morphology information from the Transmission Electron Microscope images.

  • The techniques involved in this study include gray level transformation, convolution filtering, histogram analysis, thresholding, edge detection, image opening, extraction of connected components, and computational pixel analysis.


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