DocumentCode :
1708582
Title :
Teager-Kaiser Energy bi-level thresholding
Author :
Boudraa, Abdel-Ouahab ; Bouchikhi, Abdelkhalek ; Diop, El-Hadji Samba
Author_Institution :
ENSIETA Groupe ASM, Brest-Armees
fYear :
2008
Firstpage :
1086
Lastpage :
1090
Abstract :
In this paper an automatic bi-level thresholding method of grey scale images using the Teager-Kaiser Energy Operator (TKEO) is proposed. The TKEO, a quadratic filter, is used to enhance high frequency information which is then combined with image grey values to estimate the threshold value. More precisely, this threshold is the average of the grey values by the energy at each pixel. The TKEO reflects better the local activity than the amplitude of the gradient. The performance of the thresholding is illustrated on different images and results compared to Otsu [1] and Kitler et al. [2] methods respectively.
Keywords :
filtering theory; image segmentation; Teager-Kaiser energy operator; bi-level thresholding method; grey scale image; quadratic filter; Detectors; Filters; Frequency estimation; Image edge detection; Image segmentation; Information filtering; Local activities; Pixel; Rats; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Control and Signal Processing, 2008. ISCCSP 2008. 3rd International Symposium on
Conference_Location :
St Julians
Print_ISBN :
978-1-4244-1687-5
Electronic_ISBN :
978-1-4244-1688-2
Type :
conf
DOI :
10.1109/ISCCSP.2008.4537386
Filename :
4537386
Link To Document :
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