Image processing toolbox is needed to run this function, function has been tested on MATLAB R2013a on a computer with Windows 7, 64-bit operating system. The code uses IMOVERLAY function developed by Steven L. Eddins for visualization of detected features. The test image is loaded in line #8 in the test_script_PST.m file. The test images can be called from the Test_Images directory and then, set the file name in the code on line #8. The images can be color or greyscale. However, PST operation occurs on color images only after converting them to greyscale.
PST function using MATLAB is developed in Jalali Lab at University of California, Los Angeles (UCLA). PST is a spin-off from research on the photonic time stretch technique in Jalali lab at UCLA. More information about the technique can be found on our group website: http://www.photonics.ucla.edu
This function is provided for research purposes only. A license must be obtained from the University of California, Los Angeles for any commercial applications. The software is protected under a US patent.
- M. H. Asghari, and B. Jalali, "Edge detection in digital images using dispersive phase stretch," International Journal of Biomedical Imaging, Vol. 2015, Article ID 687819, pp. 1-6 (2015).
- M. H. Asghari, and B. Jalali, "Physics-inspired image edge detection," IEEE Global Signal and Information Processing Symposium (GlobalSIP 2014), paper: WdBD-L.1, Atlanta, December 2014.
- M. Suthar, H. Asghari, and B. Jalali, "Feature Enhancement in Visually Impaired Images", IEEE Access 6 (2018): 1407-1415.
- Y. Han, and B. Jalali, "Photonic time-stretched analog-to-digital converter: Fundamental concepts and practical considerations", Journal of Lightwave Technology 21, no. 12 (2003): 3085.
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