adaptivethresholdingusingtheintegralimage

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, ...

Abstract. Image thresholding is a common task in many computer vision and graphics applications. The goal of thresholding an image is to classify pixels as ...

由 D Bradley 著作 · 被引用 1627 次 — Adaptive thresholding is a form of thresholding that takes into account spatial variations in illumination. We present a technique for real-time adaptive ...

2017年2月23日 — The segmentation using integral image classifies an image into two areas: the high intensity and/or the low intensity areas. To do this, the sum ...

For more details, please read this papaer Adaptive Thresholding Using the Integral Image. This method can preserve more image details as the table shows. test ...

Abstract: Adaptive thresholding, the simple way to perform image segmentation, is a form of image thresholding used to classify pixels as dark and light.

This work presents a technique for real-time adaptive thresholding using the integral image of the input, an extension of a previous method that is more ...

2019年8月8日 — 对图像进行按行扫描，计算前s个像素的滑动平均值，对于要判定的像素，比较其与这个滑动平均值的大小，然后判定。