A Rough Type-2 Fuzzy Clustering Algorithm for MR Image Segmentation
نویسندگان
چکیده
منابع مشابه
A Rough Type-2 Fuzzy Clustering Algorithm for MR Image Segmentation
As medical images contain uncertainties, there are difficulties in classification of images into homogeneous regions. Fuzzy sets, rough sets and the combination of fuzzy and rough sets plays a prominent role in formalizing uncertainty, vagueness, and incompleteness in diagnosis. Development of hybrid approaches for the segmentation of the magnetic resonance imaging (MRI) with the ability of com...
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Image segmentation is an essential issue in image description and classification. Currently, in many real applications, segmentation is still mainly manual or strongly supervised by a human expert, which makes it irreproducible and deteriorating. Moreover, there are many uncertainties and vagueness in images, which crisp clustering and even Type-1 fuzzy clustering could not handle. Hence, Type-...
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This paper presents a new clustering algorithm named improved type-2 possibilistic fuzzy c-means (IT2PFCM) for fuzzy segmentation of magnetic resonance imaging, which combines the advantages of type 2 fuzzy set, the fuzzy c-means (FCM) and Possibilistic fuzzy c-means clustering (PFCM). First of all, the type 2 fuzzy is used to fuse the membership function of the two segmentation algorithms (FCM...
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image segmentation is an essential issue in image description and classification. currently, in many real applications, segmentation is still mainly manual or strongly supervised by a human expert, which makes it irreproducible and deteriorating. moreover, there are many uncertainties and vagueness in images, which crisp clustering and even type-1 fuzzy clustering could not handle. hence, type-...
متن کاملCorrection: Rough-Fuzzy Clustering and Unsupervised Feature Selection for Wavelet Based MR Image Segmentation
There are a number of errors in the axes labels for Fig 8, “Heat maps for comparative performance analysis of different decomposition levels of wavelet analysis (from left to right: Jaccard index, sensitivity, and specificity).” The publisher apologizes for the errors. Please see the corrected Fig 8 here. There is an error in the axis label for Fig 9, “Heat maps obtained by different methods wi...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2012
ISSN: 0975-8887
DOI: 10.5120/8552-2114