Adaptive Thresholding using the Integral Image

作者：Derek Bradley, Gerhard Roth · 发表于：Journal of Graphics Tools · 年份：2007 · DOI：10.1080/2151237x.2007.10129236 · 被引用次数：1412 · 研究领域：Image Enhancement Techniques、Advanced Vision and Imaging、Computer Graphics and Visualization Techniques

Image thresholding is a common task in many computer vision and graphics applications. The goal of thresholding an image is to classify pixels as either "dark" or "light." Adaptive thresholding is a form of thresholding that takes into account spatial variations in illumination. We present a technique for real-time adaptive thresholding using the integral image of the input. Our technique is an extension of a previous method. However, our solution is more robust to illumination changes in the image. Additionally, our method is simple and easy to implement. Our technique is suitable for processing live video streams at a real-time frame-rate, making it a valuable tool for interactive applications such as augmented reality. Source code is available online.