A Fusion Method of Gabor Wavelet Transform and Unsupervised Clustering Algorithms for Tissue Edge Detection

This paper proposes two edge detection methods for medical images by integrating the advantages of Gabor wavelet transform (GWT) and unsupervised clustering algorithms. The GWT is used to enhance the edge information in an image while suppressing noise. Following this, the k-means and Fuzzy c-means...

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Detalles Bibliográficos
Autor principal: Ergen, Burhan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3982282/
https://www.ncbi.nlm.nih.gov/pubmed/24790590
http://dx.doi.org/10.1155/2014/964870

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3982282/
https://www.ncbi.nlm.nih.gov/pubmed/24790590
http://dx.doi.org/10.1155/2014/964870

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