Adaptive Thresholding using the Integral Image

By Derek Bradley, Gerhard Roth. J. Graph. Tools, 2007

1,335 citations recorded by the source corpus.

Subfields: Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/8d74418ec3c4e2ff45b72e723ac0fbe5fcd58620

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Graphics and Computer-Aided Design

1. Andrey Kan

In Computer Vision and Pattern Recognition

1. S. Permana
2. E. Grant
3. Faisal Shafait
4. Thomas Breuel
5. Glenn M. Walker
6. J. Yoder
7. Daniel Keysers
8. Andrey Kan

Citations in the corpus

• Efficient implementation of local adaptive thresholding techniques using integral images (2008, background): “Bradley et al. 19 have recently proposed real-time adaptive thresholding using mean of a local window, where local mean is computed using integral image.”
• Machine learning applications in cell image analysis (2017, background): “For example, local adaptive thresholding 42 is based on both intensity of each pixel (feature 1), and also the average intensity around this pixel (feature 2).”
• A Review of Automated Microinjection Systems for Single Cells in the Embryogenesis Stage (2016, background): “thresholding/clustering, adaptive segmentation was found to be preferred for video input in microinjection systems, because of changes in illumination within a frame [84].”