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Gravitational weighted fuzzy c-means with application on multispectral image segmentation
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
This paper presents a novel clustering approach based on the classic Fuzzy c-means algorithm. The approach is inspired from the concept of interaction between objects in physics. Each data point is regarded as a particle. ...
A FCM and SURF based algorithm for segmentation of multispectral face images
(
IEEE
, 2013 , Conference Paper)
In this paper, we propose a novel clustering algorithm based on Fuzzy C-Means (FCM) and Speeded-Up Robust Feature (SURF) for multispectral image segmentation. In the experiments, color images and multispectral images from ...
Cluster validity index based on n-sphere
(
IEEE
, 2014 , Conference Paper)
In this paper, we propose a new cluster validity index (CVI) based on geometrical shape. Classic CVIs are based on a combination of separation and compactness measures and may include a measure of overlap between clusters. ...
Vector anisotropic filter for multispectral image denoising
(
SPIE
, 2015 , Conference Paper)
In this paper, we propose an approach to extend the application of anisotropic Gaussian filtering for multi- spectral image denoising. We study the case of images corrupted with additive Gaussian noise and use sparse matrix ...