A Pupil Segmentation Algorithm Based on Fuzzy Clustering of Distributed Information

Image Segmentation Based on Fuzzy Clustering Algorithm

Image segmentation plays an important role for machine vision applications. In this paper, we present a new segmentation strategy based on fuzzy clustering algorithm. The new algorithm includes the spatial interactions by assuming that the statistical model of segmented image regions is Gibbs Random Field ( GRF ). We specitjl the neighborhood system, the associated cliques. and the potentials o...

ON FUZZY NEIGHBORHOOD BASED CLUSTERING ALGORITHM WITH LOW COMPLEXITY

The main purpose of this paper is to achieve improvement in thespeed of Fuzzy Joint Points (FJP) algorithm. Since FJP approach is a basisfor fuzzy neighborhood based clustering algorithms such as Noise-Robust FJP(NRFJP) and Fuzzy Neighborhood DBSCAN (FN-DBSCAN), improving FJPalgorithm would an important achievement in terms of these FJP-based meth-ods. Although FJP has many advantages such as r...

Mahalanobis distance based on fuzzy clustering algorithm for image segmentation

A spectral clustering algorithm based on intuitionistic fuzzy information

In this paper, we propose a technique for clustering data with intuitionistic fuzzy information. We first define two new intuitionistic fuzzy similarity measures, and then use it to construct an intuitionistic fuzzy similarity measure matrix, by which we present a spectral algorithm to cluster intuitionistic fuzzy information. At last, two numerical examples are given to illustrate and verify o...

Image segmentation based on fuzzy clustering with neighborhood information

In this paper, an improved fuzzy c-means (IFCM) clustering algorithm for image segmentation is presented. The originality of this algorithm is based on the fact that the conventional FCM-based algorithm considers no spatial context information, which makes it sensitive to noise. The new algorithm is formulated by incorporating the spatial neighborhood information into the original FCM algorithm...