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.
翻译:PAGE是一种边缘探测算法,受电磁分解和分散物理学的启发。一种计算成像算法,在图像亮度突变的数字图像中辨别边缘、方向和锐度。边缘探测是眼睛进行的一项基本操作,对视觉感知至关重要。PAGE将原始图像嵌入一套可用于物体表达和分类的地貌图中。该算法在低光度和低对比图像中表现得非常出色,并且是一个边缘和纹理提取器。该手稿准备支持正在同时在 GitHub 仓库https://github.com/JalaliLabULCA中提供的开放源代码。