This tool allows users to process SEM images for further analysis. It can also be used to separate out regions that are identified as graphene from the rest of the image. 

Supported Tools

Binary Masking: masks all areas that are not white

Color Masking: masks areas in a particular range of pixel intensities

Blurring: applies gaussian filter

Edge Detection: implements canny edge detection

Cropping: selects area of image to use

Dilation and Erosion: thickens or thins lines in the image

There area also other tools that are useful for graphene processing:

Domain Centers: mark centers of graphene domains and export coordinates

Template Matching: masks image based on a selected template, k-means clustering or manually. Useful for separating graphene from substrate.

Sobel Filtering: finds magnitudes and directions of intensity gradients in the image (useful for determining alignment of graphene domains) and convolves the angular histogram with a comb

Getting Started

• Upload an image using the import image button or select "Help -> Import Test Image" to use a sample.
• Select a modification in the combo box and add it to the image.
• Use the tools in the corresponding interface on the rightmost panel.
• To export processed the image, use File -> Export Image.

Note: When using the Filter Pattern modification, the Export Mask button allows the user to export the mask as a boolean list array (in json form). Users that want to use it should load the json and convert it back to a numpy array.

PyQt, OpenCV, scikit-learn

Researchers should cite this work as follows:

• Joshua A Schiller, Matthew Glen Robertson, Kristina M Miller, Kevin James Cruse, Kevin Liu, Darren K Adams, Benjamin Galewsky, Elif Ertekin, Sameh H Tawfick (2020), "SEM Image Processing Tool," https://nanohub.org/resources/gsaimage. (DOI: 10.21981/8W7X-7V98).

  BibTex | EndNote

1. characterization
2. graphene
3. Gr-ResQ
4. materials science
5. nanoMFG Node
6. scanning electron microscopy (SEM)