Image segmentation is an important research topic in the field of computer vision. Now the
fuzzy C-Means (FCM) algorithm is one of the most frequently used clustering algorithms …

Fuzzy c-means (FCM) algorithm is one of the most popular methods for image segmentation.
However, the standard FCM algorithm must be estimated by expertise users to determine …

Fuzzy c-means (FCM) algorithm is one of the most popular methods for image segmentation.
However, the standard FCM algorithm is noise sensitive because of not taking into account …

Fuzzy c-means (FCM) algorithm is one of the most popular methods for image segmentation.
However, the standard FCM algorithm is sensitive to noise because of not taking into …

For its simplicity and applicability, fuzzy c-means clustering algorithm is widely used in
image segmentation. However, fuzzy c-means clustering algorithm has some problems in …

Fuzzy C-Means clustering (FCM) algorithm plays an important role in image segmentation,
but it is sensitive to noise because of not taking into account the spatial information …

Abstract The Fuzzy E-means (FCM) algorithm is a widely used clustering method that
incorporates probabilitic memberships. Due to these memberships, it can be sensitive to …

To overcome the noise sensitiveness of conventional fuzzy c-means (FCM) clustering
algorithm, a novel extended FCM algorithm for image segmentation is presented in this …

Fuzzy C-means algorithm (FCM) is one of the most commonly used algorithms in image
segmentation. In FCM, the initial cluster center and the number of clustering are determined …

Aiming at partitioning an image into homogeneous and meaningful regions, automatic
image segmentation is a fundamental but challenging problem in computer vision. It is well …