Xflow examines image files and attempts to separate droplets, voids, and the central jet appearing in the image.
An adjustable threshold based on Otsu's method (ref.1) is used to segment the base image data.
Automated analysis for Sauter mean diameter of droplets, periodic features of the jet, and droplet and void statistics are possible with Xflow.
Background reduction using user-selected background images as well as basic functions such as image cropping are included under the Tools menu.
Note: This analysis tool is under development. Changes are forthcoming. Constructive comments, suggestions, and feature requests are appreciated.
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References:
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(1) Otsu, N., "A Threshold Selection Method from Gray-Level Histograms," IEEE Transactions on Systems, Man, and Cybernetics, Vol. 9, No. 1, 1979, pp. 62-66.
Cita come
DS (2024). Xflow (https://www.mathworks.com/matlabcentral/fileexchange/13731-xflow), MATLAB Central File Exchange. Recuperato .
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- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis >
- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Image Segmentation > Image Thresholding >
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Versione | Pubblicato | Note della release | |
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1.0.0.0 | Added interactive view for threshold and background adjustments. Added persistent options to save_session.m and load_session.m, and reformatted GUI text. |