Parallel Gabor Wavelet Transform for Edge Detection

2010 ◽  
Author(s):  
Zhongliang Fu ◽  
Chunya Tong ◽  
Yan Huang ◽  
Fan Zhou
Keyword(s):  
Wavelet Transform ◽  
Edge Detection ◽  
Gabor Wavelet ◽  
Gabor Wavelet Transform

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

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Burhan Ergen
Keyword(s):  
Wavelet Transform ◽  
Edge Detection ◽  
Medical Images ◽  
Clustering Algorithms ◽  
Unsupervised Clustering ◽  
Gabor Wavelet ◽  
Detection Methods ◽  
Gabor Wavelet Transform ◽  
Fcm Clustering ◽  
Magnetic Resonance Imaging Mri

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, thek-means and Fuzzyc-means (FCM) clustering algorithms are used to convert a gray level image into a binary image. The proposed methods are tested using medical images obtained through Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) devices, and a phantom image. The results prove that the proposed methods are successful for edge detection, even in noisy cases.

Down Syndrome Diagnosis Based on Gabor Wavelet Transform

2011 ◽  
Vol 36 (5) ◽  
pp. 3205-3213 ◽  
Author(s):  
Şafak Saraydemir ◽  
Necmi Taşpınar ◽  
Osman Eroğul ◽  
Hülya Kayserili ◽  
Nuriye Dinçkan
Keyword(s):  
Down Syndrome ◽  
Wavelet Transform ◽  
Gabor Wavelet ◽  
Gabor Wavelet Transform ◽  
Syndrome Diagnosis
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