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» Fuzzy Distance Transform: Theory, Algorithms, and Applicatio...
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EUSFLAT
2009
123views Fuzzy Logic» more  EUSFLAT 2009»
13 years 4 months ago
A New Fuzzy Noise-Rejection Data Partitioning Algorithm with Revised Mahalanobis Distance
Fuzzy C-Means (FCM) and hard clustering are the most common tools for data partitioning. However, the presence of noisy observations in the data may cause generation of completely ...
Mohammad Hossein Fazel Zarandi, Milad Avazbeigi, I...
IJIT
2004
13 years 7 months ago
On the Noise Distance in Robust Fuzzy C-Means
In the last decades, a number of robust fuzzy clustering algorithms have been proposed to partition data sets affected by noise and outliers. Robust fuzzy C-means (robust-FCM) is c...
Mario G. C. A. Cimino, Graziano Frosini, Beatrice ...
ISCI
2008
116views more  ISCI 2008»
13 years 6 months ago
On the J-divergence of intuitionistic fuzzy sets with its application to pattern recognition
The importance of suitable distance measures between intuitionistic fuzzy sets (IFSs) arises because of the role they play in the inference problem. A concept closely related to o...
Wen-Liang Hung, Miin-Shen Yang
ARTMED
2004
145views more  ARTMED 2004»
13 years 6 months ago
A novel kernelized fuzzy C-means algorithm with application in medical image segmentation
: Image segmentation plays a crucial role in many medical imaging applications. In this paper, we present a novel algorithm for fuzzy segmentation of magnetic resonance imaging (MR...
Dao-Qiang Zhang, Song-Can Chen
IPPS
1996
IEEE
13 years 10 months ago
The Chessboard Distance Transform and the Medial Axis Transform are Interchangeable
The distance transform (DT) and the medial axis transform (MAT) are two image computation tools used to extract the information about the shape and the position of the foreground ...
Yu-Hua Lee, Shi-Jinn Horng