Region feature extraction and classification

1994 ◽  
Author(s):  
Deshen Xia ◽  
Hua Li
Keyword(s):  
Feature Extraction ◽  
Region Feature

Inter-patient heartbeat classification based on region feature extraction and ensemble classifier

2019 ◽  
Vol 51 ◽  
pp. 97-105 ◽  
Author(s):  
Haotian Shi ◽  
Haoren Wang ◽  
Fei Zhang ◽  
Yixiang Huang ◽  
Liqun Zhao ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Ensemble Classifier ◽  
Heartbeat Classification ◽  
Region Feature

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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