Enhancement of Multispectral Chromosome Image Classification Using Vector Median Filtering

ICCS 2007 ◽  
2007 ◽  
pp. 49-54 ◽  
Author(s):  
Petros S. Karvelis ◽  
Dimitrios I. Fotiadis
Keyword(s):  
Image Classification ◽  
Median Filtering ◽  
Vector Median

Regularization of optic flow estimates by means of weighted vector median filtering

1999 ◽  
Vol 8 (10) ◽  
pp. 1462-1467 ◽  
Author(s):  
L. Alparone ◽  
M. Barni ◽  
F. Bartolini ◽  
R. Caldelli
Keyword(s):  
Optic Flow ◽  
Median Filtering ◽  
Vector Median

Performance comparison of adaptively weighted scalar and vector median filtering for postprocessing of optical flow fields

2000 ◽  
Author(s):  
Luciano Alparone ◽  
Franco Bartolini ◽  
Massimo Bianchini ◽  
Roberto Caldelli
Keyword(s):  
Optical Flow ◽  
Flow Fields ◽  
Performance Comparison ◽  
Median Filtering ◽  
Vector Median

Noise reduction by vector median filtering

Geophysics ◽  
2013 ◽  
Vol 78 (3) ◽  
pp. V79-V87 ◽  
Author(s):  
Yike Liu
Keyword(s):  
Vector Field ◽  
Field Data ◽  
Vector Fields ◽  
Median Filter ◽  
Random Noise ◽  
Computation Time ◽  
Geophysical Data ◽  
Data Sets ◽  
Median Filtering ◽  
Vector Median

The scalar median filter (SMF) is often used to reduce noise in scalar geophysical data. We present an extension of the SMF to a vector median filter (VMF) for suppressing noise contained in geophysical data represented by multidimensional, multicomponent vector fields. Although the SMF can be applied to each component of a vector field individually, the VMF is applied to all components simultaneously. Like the SMF, the VMF intends to suppress random noise while preserving discontinuities in the vector fields. Preserving such discontinuities is essential for exploration geophysics because discontinuities often manifest important geologic features such as faults and stratigraphic channels. The VMF is applied to synthetic and field data sets. The results are compared to those generated by using SMF, f-x deconvolution, and mean filters. Our results indicate that the VMF can reduce noise while preserving discontinuities more effectively than the alternatives. In addition, a fast VMF algorithm is described for reducing computation time.

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