References
[1]. M. Sezgin, & B. Sankur (2004). Survey over image
thresholding techniques and quantitative performance
evaluation, J. Electron. Imag., 13(1), 146–165
[2]. N. Otsu (1979). A threshold selection method from
gray level histograms, IEEE Trans. Syst., Man, Cybern.,
SMC-9, 62–66,.
[3]. T. Ridler, & S. Calvard (1978). Picture thresholding
using an iterative selection method, IEEE Trans. Syst., Man,
Cybern., SMC-8, 630–632.
[4]. J. Kittler & J. Illingworth (1986). Minimum error
thresholding, Pattern Recognit., 19( 1).
[5]. J.N. Kapur, P.K. Sahoo, & A.K.C.Wong (1985). A new
method for graylevel picture thresholding using the
entropy of the histogram, Graph. Models Image Process.,
29, 273–285.
[6]. T. Pun (1985). A new method for gray-level picture
thresholding using the entropy of the histogram, Signal
Process., 2( 3), 223–237.
[7]. Y. Xiao, Z.G. Cao & S.Zhong (2010). New entropic
thresholding approach using gray-level spatial
correlation histogram, Optics Engineering, 49, 127007.
[8]. M Seetharama Prasad, T Divakar & LSS Reddy (2011).
Improved Entropic Thresholding based on GLSC
histogram with varying similarity measure , International Journal of Computer Applications, 23(1),
25-32.
[9]. Yang Xiao, Zhiguo Cao & Wen Zhuo (2011). Type-2
fuzzy thresholding using GLSC histogram of human visual
nonlinearity characteristics, Optics Express, 19(11).
[10]. L.A. Zadeh (1965). Fuzzy sets, Inf. Control 8, 338-353.
[11]. O.J. Tobias & R. Seara (2002). Image segmentation
by histogram thresholding using fuzzy sets, IEEE Trans.
Image Process.,11.
[12]. A.S. Pednekar & I.A. Kakadiaris (2006). Image
segmentation based on fuzzy connectedness using
dynamic weights, IEEE Trans. Image Process., 15(6),
1555–1562.
[13]. F. Sahba & H.R. Tizhoosh (2009). Quasi-Global
Oppositional Fuzzy Thresholding, in Proc. IEEE
International Conference on Fuzzy Systems (FUZZ–IEEE),
Korea, 1346-1351.
[14]. K.S. Chuang, H.L. Tzeng, S. Chen, J. Wu & T.J. Chen
(2006). Fuzzy c-means clustering with spatial information
for image segmentation, Comput. Med. Imag. Graph.,
30(1), 9–15 .
[15]. S. Sahaphong & N. Hiransakolwong (2007).
Unsupervised image segmentation using automated
fuzzy c-means,” in Proc. IEEE Int. Conf. Comp. and Info.
Tech., 690–694 .
[16]. A. Kaufmann (1975). Introduction to the Theory of
Fuzzy Subsets. New York: Academic, vol. I.
[17]. N.R. Pal & J.C. Bezdek (1994). Measuring fuzzy
uncertainty, IEEE Trans. Fuzzy Syst., 2.
[18]. H.R. Tizhoosh (2005). Image thresholding using type II
fuzzy sets, Pattern Recognit., 38, 2363–2372.
[19]. N.V. Lopes, PAM Couto, H. Bustince & PM Pinto
(2010). Automatic Histogram Threshold using Fuzzy
Measures, IEEE Trans. Image Process., 19( 1).
[20]. L.K. Huang, & M.J.J. Wang (1995). Image
thresholding by minimizing the measures of fuzziness,
Pattern Recognit., 28(1), 41–51.
[21]. Rosenfeld & P. de la Torre (1983). Histogram
concavity analysis as an aid in threshold selection, SMC,
13(3), 231–235.
[22]. J.S. Wezka & A. Rosenfeld (1979). Histogram Syst.,
Man, Cybern., SMC-9, 38–52.
[23]. M Seetharama Prasad, T. Divakar, B. Srinivasa Rao, C. Naga Raju (2011). Unsupervised Image tresholding
using Fuzzy Measures”, International Journal of Computer
Applications, 27 (2), 32-41.
