Fuzzy c-means algorithm (FCM) is one of the most used clustering methods for image
segmentation. However, the conventional FCM algorithm presents some limits like its …

Image segmentation can be cast as a clustering task where the image is partitioned into
clusters. Pixels within the same cluster are as homogenous as possible whereas pixels …

Fuzzy c-means clustering (FCM) with spatial constraints (FCM-S) is an effective algorithm
suitable for image segmentation. Its effectiveness contributes not only to the introduction of …

Fuzzy clustering techniques, especially fuzzy c-means (FCM) clustering algorithm, have
been widely used in automated image segmentation. However, as the conventional FCM …

Fuzzy c-means (FCM) clustering algorithm is a popular algorithm in the field of image
segmentation. In this paper, an adaptive spatially weighted FCM clustering (ASWFCM) is …

Due to the fuzzy c-means (FCM) clustering algorithm is very sensitive to noise and outliers,
the spatial information derived from neighborhood window is often used to improve its image …

Fuzzy C-means (FCM) clustering method has been widely used in image segmentation that
plays an important role in a variety of applications in image processing and computer vision …

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 …

This article describes a multiobjective spatial fuzzy clustering algorithm for image
segmentation. To obtain satisfactory segmentation performance for noisy images, the …

Image segmentation plays vital role in computer vision, pattern recognition, disease
diagnosing in medical images and many other fields. Medical image segmentation is one of …