کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
564638 875628 2008 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Fuzzy pairwise Markov chain to segment correlated noisy data
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
Fuzzy pairwise Markov chain to segment correlated noisy data
چکیده انگلیسی
This paper deals with an image segmentation process using a new fuzzy Markov model, which characterizes the imprecision of the hidden data and the correlation of the observed data. We propose to extend a recent pairwise Markov chain model (PMC [W. Pieczynski, Pairwise Markov chains, IEEE Trans. Pattern Anal. Mach. Intell. 25 (5) (2003) 634-639]) to a fuzzy context, allowing us to treat a spatial correlated noise between neighboring observations. The new algorithm, called fuzzy pairwise Markov chain (FPMC), requires a more specific methodology in order to compute the posterior density related to the hidden field. We validate our approach through experiments performed on synthetic and real images.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 88, Issue 10, October 2008, Pages 2526-2541
نویسندگان
, , ,