Name
Title | ||
|---|---|---|
Microscopic image classification via ℂWT-based covariance descriptors using Kullback-Leibler distance |
Abstract | ||
|---|---|---|
In this paper, we present a novel method for classification of cancer cell line images using complex wavelet-based region covariance matrix descriptors. Microscopic images containing irregular carcinoma cell patterns are represented by randomly selected subwindows which possibly correspond to foreground pixels. For each subwindow, a new region descriptor utilizing the dual-tree complex wavelet transform coefficients as pixel features is computed. ℂWT as a feature extraction tool is preferred primarily because of its ability to characterize singularities at multiple orientations, which often arise in carcinoma cell lines, and approximate shift invariance property. We propose new dissimilarity measures between covariance matrices based on Kullback-Leibler (KL) divergence and L2-norm, which turn out to be as successful as the classical KL divergence, but with much less computational complexity. Experimental results demonstrate the effectiveness of the proposed image classification framework. The proposed algorithm outperforms the recently published eigenvalue-based Bayesian classification method. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ISCAS.2012.6271692 | Circuits and Systems |
Keywords | Field | DocType |
cancer,cellular biophysics,covariance matrices,feature extraction,image classification,medical image processing,microscopy,wavelet transforms,CWT based covariance descriptors,Kullback-Leibler distance,Kullback-Leibler divergence,L2 norm,cancer cell line images,carcinoma cell patterns,dissimilarity measurement,dual tree complex wavelet transform coefficient,eigenvalue based Bayesian classification,feature extraction,microscopic image classification,shift invariance property,wavelet based region covariance matrix descriptors | Pattern recognition,Computer science,Feature extraction,Artificial intelligence,Covariance matrix,Contextual image classification,Complex wavelet transform,Kullback–Leibler divergence,Covariance,Wavelet transform,Wavelet | Conference |
ISSN | ISBN | Citations |
0271-4302 | 978-1-4673-0218-0 | 1 |
PageRank | References | Authors |
0.36 | 10 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Furkan Keskin | 1 | 12 | 2.02 |
| A. Enis Çetin | 2 | 871 | 118.56 |
| Tulin Ersahin | 3 | 5 | 1.45 |
| Rengül Çetin-atalay | 4 | 77 | 12.63 |
| Cetin-Atalay, R. | 5 | 2 | 0.73 |