References
[1]. W.K. Pratt (2001). Digital Image Processing, third Ed.
New York: Wiley.
[2]. R.C. Gonzalez & R.E. Woods (1993). Digital Image
Processing. Reading, MA: Addison-Wesley.
[3]. N.R. Pal and S.K. Pal (1993). “A review on image
segmentation techniques”, Pattern recog., 26(9), 1277-
1294.
[4]. Y.J. Zhang (1996). “A survey on evaluation methods for
image segmentation,” Computer Vision and Pattern
Recognition, vol. 29, 1335–1346.
[5]. M. Sezgin and B. Sankur (2004). “Survey over image
thresholding techniques and quantitative performance
evaluation,” J. Electron. Imag., 13(1), 146–165.
[6]. N. Otsu (1979). “A threshold selection method from
gray level histograms,” IEEE Trans. Syst., Man, Cybern., vol.
SMC-9, 62–66.
[7]. T. Ridler and S. Calvard (1978). “Picture thresholding
using an iterative selection method,” IEEE Trans. Syst.,
Man, Cybern., vol. SMC-8, 630–632.
[8]. J. Kittler and J. Illingworth (1986). “Minimum error
thresholding,” Pattern Recognit, 19(1).
[9]. 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.
[10]. T. Pun (1985). A new method for gray-level picture
thresholding using the entropy of the histogram, Signal
Process., 2( 3), 223–237.
[11]. Yang Xiao, Zhiguo Cao, Tianxu Zhang (2008).
“Entropic thresholding based on gray level spatial
correlation histogram”, IEEE trans. 19th international
conf., 1-4.
[12]. Y. Xiao, Z.G. Cao & S. Zhong (2010). New entropic
thresholding approach using gray-level spatial
correlation histogram, Optics Engineering, 49, 127007.
[13]. M. Seetharama Prasad, T. Divakar & L.S.S. Reddy
(2011). Improved Entropic Thresholding based on GLSC
histogram with varying similarity measure, International
Journal of Computer Applications, 23(1), 25-32.
[14]. Yang Xiao, Zhiguo Cao & Wen zhuo (2011). Type-2
fuzzy thresholding using GLSC histogram of human visual
nonlinearity characteristics, Optics Express, 19(11).
[15]. L.A. Zadeh (1965). Fuzzy sets, Inf. Control 8, 338-353.
[16]. C. Murthy & S. Pal (1990). “Fuzzy thresholding:
Mathematical framework, bound functions and weighted
moving average technique,” Pattern Recognit. Lett., 11,
197–206.
[17]. O.J. Tobias, R. Seara, & F.A.P. Soares (1996).
“Automatic image segmentation using fuzzy sets,” in Proc.
38th Midwest Symp. Circuits and Systems, 2, 921–924.
[18]. O.J. Tobias & R. Seara (2002). Image segmentation
by histogram thresholding using fuzzy sets, IEEE Trans.
Image Process.,11.
[19]. A.S. Pednekar & I.A. Kakadiaris (2006). Image
segmentation based on fuzzy connectedness using
dynamic weights, IEEE Trans. Image Process., 15(6),
1555–1562.
[20]. F. Sahba & H.R. Tizhoosh (2009). Quasi-Global
Oppositional Fuzzy Thresholding, in Proc. IEEE
International Conference on Fuzzy Systems (FUZZ–IEEE),
Korea, 1346-1351.
[21]. C.V. Jawahar, P.K. Biswas, & A.K. Ray (1997).
“Investigations on fuzzy thresholding based on fuzzy
clustering”, Pattern Recogn. 30(10) 1605–1613.
[22]. 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.
[23]. S. Sahaphong and N. Hiransakolwong, “Unsupervised
image segmentation using automated fuzzy c-means,”
in Proc. IEEE Int. Conf. Computer and Information
Technology, pp. 690–694, Oct. 2007.
[24]. A. Kaufmann (1975). Introduction to the Theory of
Fuzzy Subsets. New York: Academic, vol. I.
[25]. N.R. Pal & J.C. Bezdek (1994). Measuring fuzzy
uncertainty, IEEE Trans. Fuzzy Syst. 2.
[26]. H.R. Tizhoosh (2005). “Image thresholding using type
II fuzzy sets,” Pattern Recognit., 38, 2363–2372.
[27]. Lopes, Couto, Bustince & Pinto (2010). “Automatic
HistogramThreshold using Fuzzy Measures” IEEE Trans.
Image Process.,19(1).
[28]. L.K. Huang & M.J.J. Wang (1995). “Image thresholding by minimizing the measures of fuzziness,”
Pattern Recognit., 28(1), 41–51.
[29]. F. Sahba & H.R. Tizhoosh (2009). “Quasi-Global
Oppositional Fuzzy Thresholding” in Proc. IEEE
International Conference on Fuzzy Systems (FUZZ – IEEE),
Korea, 1346-1351.
[30]. M Seetharama Prasad, T Divakar, B. Srinivasa Rao,
Dr. C. Naga Raju (2011). Unsupervised Image tresholding
using Fuzzy Measures”, International Journal of Computer
Applications, 27 (2), 32-41.
[31]. Paul Jaccard (1901). "Etude comparative de la
distribution orale dansune portion des Alpes et des Jura".
In Bulletin del la Socit Vaudoise des Sciences Naturelles,
Vol. 37, pp. 547-579. 1901.
