Image histogram thresholding using Gaussian kernel density estimation (English)
Author
Suhre, Alexander
Çetin, A. Enis
Date
2013Source Title
2013 21st Signal Processing and Communications Applications Conference (SIU)
Publisher
IEEE
Language
Turkish
Type
Conference PaperItem Usage Stats
199
views
views
225
downloads
downloads
Abstract
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.
Keywords
Gaussian kernelKde
Lmage processing
Thresholding
Gaussian kernels
Image histograms
Kde
Mixture of Gaussians
Thresholding
Thresholding methods
Gaussian distribution
Iterative methods
Mixtures
Signal processing
Graphic methods
Permalink
http://hdl.handle.net/11693/27992Published Version (Please cite this version)
http://dx.doi.org/10.1109/SIU.2013.6531341Collections
Related items
Showing items related by title, author, creator and subject.
-
Spectrum sensing via restricted neyman-pearson approach in the presence of non-Gaussian noise
Turgut, Esma; Gezici, Sinan (IEEE, 2013)In this paper, spectrum sensing in cognitive radio systems is studied for non-Gaussian channels in the presence of prior distribution uncertainty. In most practical cases, some amount of prior information about signals of ... -
Performance analysis of turbo codes over Rician fading channels with impulsive noise
Ali, Syed Amjad; Ince, E.A. (IEEE, 2007)The statistical characteristics of impulsive noise differ greatly from those of Gaussian noise. Hence, the performance of conventional decoders, optimized for additive white Gaussian noise (AWGN) channels is not promising ... -
Time-frequency analysis of signals using support adaptive Hermite-Gaussian expansions
Alp, Y. K.; Arıkan, Orhan (Elsevier, 2012-05-18)Since Hermite-Gaussian (HG) functions provide an orthonormal basis with the most compact time-frequency supports (TFSs), they are ideally suited for time-frequency component analysis of finite energy signals. For a signal ...