Title :
An adaptive method for image thresholding
Author :
Shapiro, V.A. ; Veleva, P.K. ; Sgurev, V.S.
Author_Institution :
Inst. of Inf., Bulgarian Acad. of Sci., Sofia, Bulgaria
fDate :
30 Aug-3 Sep 1992
Abstract :
Thresholding is a traditional tool for image regions classification based on their grey-level properties, especially when there are two kinds of homogeneous regions of intensity say, object and background. A new global thresholding scheme is described in this paper. Unlike the previously developed methods the approach proposed is independent of the object/background areas ratio, intensity transition slope and object/background shape; it is also resistant to noise
Keywords :
image recognition; adaptive method; global thresholding; grey-level; image recognition; image regions classification; image thresholding; local thresholding; Background noise; Entropy; Gradient methods; Histograms; Image segmentation; Informatics; Noise shaping; Object detection; Shape; Statistics;
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
DOI :
10.1109/ICPR.1992.202082
