Feature Extraction by Best-Basis and Wavelet Methods.

1995 ◽  
Author(s):  
M. V. Wickerhauser ◽  
G. L. Weiss ◽  
R. R. Coifman
Keyword(s):  
Feature Extraction ◽  
Wavelet Methods

Fractal and Wavelet Methods Used in the Feature Extraction of Machining Processing from 3D Machined KDP Surfaces

2007 ◽  
Vol 364-366 ◽  
pp. 284-289
Author(s):  
Ming Jun Chen ◽  
Qi Long Pang ◽  
Jing He Wang ◽  
K. Cheng
Keyword(s):  
Feature Extraction ◽  
Spatial Frequency ◽  
Single Point ◽  
Diamond Turning ◽  
Machining Process ◽  
Material Structure ◽  
Intrinsic Properties ◽  
Fractal Method ◽  
Wavelet Method ◽  
Wavelet Methods

Fractal and wavelet methods have been used in this study to analyze the KDP surfaces machined by accurate milling and SPDT (Single Point Diamond Turning) method respectively. Through the 2D wavelet method, the 3D origin machined surfaces were separated into the 3D overlaying roughness surfaces and 3D material structure surfaces. The overlaying roughness surfaces were composed of a large number of length scales superimposed roughness surfaces that are generated from the various vibrations in the machining process. The wavelet method can analyze the information of spatial frequency (vibrations in the machining process) and fractal method can reveal the intrinsic properties of roughness topography. Compared with the conventional methods, the integration of wavelet and fractal is more suitable to characterize the machined crystal KDP surface.

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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