Practical Consideration about Cost Functions of Spatial Independent Component Analysis in Medical Image Processing

2005 ◽  
Author(s):  
M. Naganawa ◽  
Y. Kimura ◽  
Y. Manabe ◽  
K. Chihara
Keyword(s):  
Image Processing ◽  
Independent Component Analysis ◽  
Medical Image ◽  
Medical Image Processing ◽  
Component Analysis ◽  
Independent Component ◽  
Cost Functions ◽  
Practical Consideration

Separation and Reproduction of Mixed Images Using 2-D Complex Wavelet Transform

2010 ◽  
Vol 36 ◽  
pp. 466-475
Author(s):  
Tsutomu Matsuura ◽  
Amirul Faiz ◽  
Kouji Kiryu
Keyword(s):  
Image Processing ◽  
Wavelet Transform ◽  
Independent Component Analysis ◽  
Component Analysis ◽  
Independent Component ◽  
Complex Wavelet Transform ◽  
Time Frequency ◽  
Frequency Information ◽  
Complex Wavelet ◽  
Complex Valued

The differences method between 1-D wavelet transform and 2-D wavelet transform in image processing is discussed. Both proposed method uses the quotient of complex valued time-frequency information of observed signals to detect the number of sources. No less number of observed signals than the detected number of sources is needed to separate sources. The assumption on sources is quite general independence in the time-frequency plane, which is different from that of independent component analysis. Using the same given Algorithm and parameters for both method, the result on separated images are compared.

Principal component analysis in medical image processing: a study

2015 ◽  
Vol 1 (1) ◽  
pp. 65 ◽  
Author(s):  
Dibyadeep Nandi ◽  
Amira S. Ashour ◽  
Sourav Samanta ◽  
Sayan Chakraborty ◽  
Mohammed A.M. Salem ◽  
...  
Keyword(s):  
Image Processing ◽  
Principal Component Analysis ◽  
Medical Image ◽  
Medical Image Processing ◽  
Principal Component ◽  
Component Analysis
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