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S Allwin

Clustering of Ultrasound Cervix Image Using Objective Function

DOI: 
10.7727/wimj.2016.118
Synopsis: 
Clustering technique that has been effectively applied to feature investigation, classifier designs in field such as medical imaging and image segmentation. This clustering is achieved by iteratively reducing a cost functionality. It is based on minimization of the objective function.

ABSTRACT

Objective: The purpose of this study was to evaluate a clustering method that gets the similarity between the classes, where the comparison measure controls how the clusters are formed.

Accepted: 
26 May, 2016
PDF Attachment: 
Journal Sections: 
Journal Authors: 
e-Published: 10 Jun, 2016

Disclaimer

Manuscripts that are Published Ahead of Print have been peer reviewed and accepted for publication by the Editorial Board of the West Indian Medical Journal. They may appear in their original format and may not be copy edited or formatted in the style guide of this Journal. While accepted manuscripts are not yet assigned a volume, issue or page numbers, they can be cited using the DOI and date of e-publication. See our Instructions for Authors on how to properly cite manuscripts at this stage. The contents of the manuscript may change before it is published in its final form. Manuscripts in this section will be removed once they have been issued to a volume and issue, but will still retain the DOI and date of e-publication.

Denoising of Ultrasound Cervix Image Using Improved Anisotropic Diffusion Filter

Issue: 
DOI: 
10.7727/wimj.2014.235
Pages: 
376–83
Synopsis: 
Ultrasound imaging is the most commonly used imaging system in the medical field. The success of ultrasonic examination depends on the image quality which is usually retarded due to speckle noise. The optimal method for effective suppression of speckle noise is the improved anisotropic diffusion filter which gives a more efficient result by analysing the quality metrics.

ABSTRACT

Accepted: 
24 Oct, 2014
PDF Attachment: 
Journal Sections: 
Journal Authors: 
e-Published: 13 May, 2015
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