DocumentCode
2698603
Title
A new thresholding algorithm based on all-pole model
Author
Cai, Jinhai ; Liu, Zhi-Qiang
Author_Institution
Dept. of Comput. Sci., Melbourne Univ., Parkville, Vic., Australia
Volume
1
fYear
1998
fDate
16-20 Aug 1998
Firstpage
34
Abstract
A new thresholding algorithm based on all-pole model histogram is presented. The parameters of the all-pole model are estimated from the second derivative of log model histogram. The main merits are that the model can produce the desired number of peaks in model histogram and the algorithm is efficient in computation. The proposed algorithm can be used for binarisation and multilevel thresholding and good results have been achieved for a wide range of images
Keywords
computer vision; image segmentation; parameter estimation; all-pole model; binarisation; grey level images; histogram; parameter estimation; second derivative; thresholding algorithm; Computational complexity; Computational efficiency; Computer science; Computer vision; Entropy; Histograms; Image converters; Image segmentation; Machine intelligence; Read only memory;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location
Brisbane, Qld.
ISSN
1051-4651
Print_ISBN
0-8186-8512-3
Type
conf
DOI
10.1109/ICPR.1998.711073
Filename
711073
Link To Document