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Total Variation for Image Denoising Based on a Novel Smart Edge Detector: An Application to Medical Images
(
Springer New York LLC
, 2019 , Article)
In medical imaging applications, diagnosis relies essentially on good quality images. Edges play a crucial role in identifying features useful to reach accurate conclusions. However, noise can compromise this task as it ...
Modified total variation regularization using fuzzy complement for image denoising
(
IEEE Computer Society
, 2016 , Conference Paper)
In this paper, we propose a denoising algorithm based on the Total Variation (TV) model. Specifically, we associate to the regularization term of the Rodin-Osher-Fatimi (ROF) functional a small weight whenever denoising ...
Edge guided total variation for image denoising
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
In this paper, we present a novel denoising algorithm based on the Rodin-Osher-Fatemi (ROF) model. The goal is to ensure maximum noise removal while preserving image details. To achieve this goal, we developed a new edge ...
Cluster validity index based on Jeffrey divergence
(
Springer London
, 2017 , Article)
Cluster validity indexes are very important tools designed for two purposes: comparing the performance of clustering algorithms and determining the number of clusters that best fits the data. These indexes are in general ...
Multispectral image denoising with optimized vector non-local mean filter
(
Elsevier Inc.
, 2016 , Article)
Nowadays, many applications rely on images of high quality to ensure good performance in conducting their tasks. However, noise goes against this objective as it is an unavoidable issue in most applications. Therefore, it ...
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 ...