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
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;
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-8186-8512-3
DOI :
10.1109/ICPR.1998.711073
