Image histogram thresholding using gaussian kernel densit y estimation* (English) [Gauss olabilirlik degerlerine dayali goruntu histogrami esikleme]
2013 21st Signal Processing and Communications Applications Conference, SIU 2013
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/27992
In this article, image histogram thresholding is carried out using the likelihood of a mixture of Gaussians. In the proposed approach, a prob ability density function (PDF) of the histogram is computed using Gaussian kernel density estimation in an iterative manner. The threshold is found by iteratively computing a mixture of Gaussians for the two clusters. This process is aborted when the current bin is assigned to a different cluster than its predecessor. The method does not envolve an exhaustive search. Visual examples of our segmentation versus Otsu's thresholding method are presented. © 2013 IEEE.
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