MRI feature extraction using a linear transformation

1993 ◽  
Author(s):  
Hamid Soltanian-Zadeh ◽  
Joe P. Windham ◽  
Donald J. Peck
Keyword(s):  
Feature Extraction ◽  
Linear Transformation

Optimal linear transformation for MRI feature extraction

1996 ◽  
Vol 15 (6) ◽  
pp. 749-767 ◽  
Author(s):  
H. Soltanian-Zadeh ◽  
J.P. Windham ◽  
D.J. Peck
Keyword(s):  
Feature Extraction ◽  
Linear Transformation ◽  
Optimal Linear

An Improved Quantitative Image Analyser

1977 ◽  
Vol 35 ◽  
pp. 226-227
Author(s):  
J.P. Fallon ◽  
P.J. Gregory ◽  
C.J. Taylor
Keyword(s):  
Feature Extraction ◽  
Quantitative Analysis ◽  
Frequency Content ◽  
General Sense ◽  
Physical Measurements ◽  
Quantitative Image ◽  
Image Analyser ◽  
Automatic Methods ◽  
Quantitative Results

Quantitative image analysis systems have been used for several years in research and quality control applications in various fields including metallurgy and medicine. The technique has been applied as an extension of subjective microscopy to problems requiring quantitative results and which are amenable to automatic methods of interpretation.Feature extraction. In the most general sense, a feature can be defined as a portion of the image which differs in some consistent way from the background. A feature may be characterized by the density difference between itself and the background, by an edge gradient, or by the spatial frequency content (texture) within its boundaries. The task of feature extraction includes recognition of features and encoding of the associated information for quantitative analysis.Quantitative Analysis. Quantitative analysis is the determination of one or more physical measurements of each feature. These measurements may be straightforward ones such as area, length, or perimeter, or more complex stereological measurements such as convex perimeter or Feret's diameter.

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