论文标题
相伸展自适应梯度领域提取器（页面）
Phase-Stretch Adaptive Gradient-Field Extractor (PAGE)
论文作者
论文摘要
相伸展自适应梯度场提取器（PAGE）是一种受电磁衍射和分散物理学启发的边缘检测算法。它在数字图像中识别边缘，亮度突然变化的数字图像中的边缘，其方向和清晰度。边缘检测是眼睛执行的基本操作，对视觉感知至关重要。页面将原始图像嵌入一组特征图中，这些图像可用于对象表示和分类。该算法在低光水平和低对比度图像中表现出异常表现出色的边缘和纹理提取器。该手稿准备支持在GitHub存储库中同时提供的开源代码https://github.com/jalalilabucla/phase-stretch-stretch-aptreth-aptirtive-gradient-field-extractor/。
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/.
