We are happy to announce that we have made public the code for our latest physics-inspired algorithm which detects edges and their orientations in digital images at various scales. The algorithm, called PAGE, is based on the diffraction equations of optics and coherent detection. Edge detection is a basic operation performed by the eye and is crucial to visual perception. PAGE has the potential to be used as a preprocessing step for machine learning tasks such as image classification and recognition.
Recent Posts
- Jalali-Lab Open-sources PhyCV: The First Physics-inspired Computer Vision Library
- Jalali-Lab Open-Sources Code for Physics-Inspired Algorithm for Feature Extraction in Digital Images
- Professor Bahram Jalali Elected to the National Academy of Engineering
- Celebrating a Successful “AI and Optical Data Science Conference” at Photonics West 2022 Jalali-Lab
- Celebrating Jalali-Lab’s 30-year anniversary in Silicon Photonics
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