Phase-Stretch Adaptive Gradient-Field Extractor (PAGE)

Bahram Jalali; Callen MacPhee; Madhuri Suthar

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Phase-Stretch Adaptive Gradient-Field Extractor (PAGE)

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arxiv 2202.03570 v2 pith:3RZ5OSOK submitted 2022-02-08 eess.IV cs.CV

Callen MacPhee , Madhuri Suthar , Bahram Jalali This is my paper · ORCID

classification eess.IVcs.CV

keywords algorithmedgeextractorimagepageadaptivedetectiongithub

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Phase-Stretch Adaptive Gradient-Field Extractor (PAGE) is an edge detection algorithm that is inspired by physics of electromagnetic diffraction and dispersion. A computational imaging algorithm, it identifies edges, their orientations and sharpness in a digital image where the image brightness changes abruptly. Edge detection is a basic operation performed by the eye and is crucial to visual perception. PAGE embeds an original image into a set of feature maps that can be used for object representation and classification. The algorithm performs exceptionally well as an edge and texture extractor in low light level and low contrast images. This manuscript is prepared to support the open-source code which is being simultaneously made available within the GitHub repository https://github.com/JalaliLabUCLA/Phase-Stretch-Adaptive-Gradient-field-Extractor/.

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