Title :
Adaptive thresholding based on variational background
Author :
Liu, Fei ; Song, Xiaodan ; Luo, Yupin ; Hu, Dongcheng
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
fDate :
8/29/2002 12:00:00 AM
Abstract :
A novel variational background-based adaptive thresholding algorithm is proposed. By denoising and edge detection, the background region is located. The background surface is then estimated by a variational algorithm. Finally, subtraction of the background surface from the preprocessed image is used to find a global threshold to obtain the binary result
Keywords :
adaptive signal processing; conjugate gradient methods; edge detection; finite difference methods; image segmentation; variational techniques; adaptive thresholding algorithm; background region location; background surface estimation; background surface subtraction; binary result; conjugate gradient iterative algorithm; denoising; edge detection; finite difference method; global threshold; image segmentation; preprocessed image; variational algorithm; variational background;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20020728
