What is the definition in contrast-invariant?
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I came across this "texture analysis" technique in a paper called "Identifying structural complexity in aeromagnetic data: An image analysis approach to greenfields gold exploration" by E. Holden et al. and I couldn't really find the meaning of whatever this is anywhere.
context: "In this paper, we detect edges (i.e., magnetic discontinuities) by firstly enhancing local magnetic variations using texture analysis and then finding ridges within the texture analysis outputs using a contrast-invariant line detection technique. Finally, the texture ridges are identified and vectorised."
analysis signal-processing image-processing
asked Oct 25 '18 at 21:29
user38441user38441
62
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add a comment |
$begingroup$
I came across this "texture analysis" technique in a paper called "Identifying structural complexity in aeromagnetic data: An image analysis approach to greenfields gold exploration" by E. Holden et al. and I couldn't really find the meaning of whatever this is anywhere.
context: "In this paper, we detect edges (i.e., magnetic discontinuities) by firstly enhancing local magnetic variations using texture analysis and then finding ridges within the texture analysis outputs using a contrast-invariant line detection technique. Finally, the texture ridges are identified and vectorised."
analysis signal-processing image-processing
asked Oct 25 '18 at 21:29
user38441user38441
62
$endgroup$
add a comment |
$begingroup$
I came across this "texture analysis" technique in a paper called "Identifying structural complexity in aeromagnetic data: An image analysis approach to greenfields gold exploration" by E. Holden et al. and I couldn't really find the meaning of whatever this is anywhere.
context: "In this paper, we detect edges (i.e., magnetic discontinuities) by firstly enhancing local magnetic variations using texture analysis and then finding ridges within the texture analysis outputs using a contrast-invariant line detection technique. Finally, the texture ridges are identified and vectorised."
analysis signal-processing image-processing
asked Oct 25 '18 at 21:29
user38441user38441
62
$endgroup$
I came across this "texture analysis" technique in a paper called "Identifying structural complexity in aeromagnetic data: An image analysis approach to greenfields gold exploration" by E. Holden et al. and I couldn't really find the meaning of whatever this is anywhere.
context: "In this paper, we detect edges (i.e., magnetic discontinuities) by firstly enhancing local magnetic variations using texture analysis and then finding ridges within the texture analysis outputs using a contrast-invariant line detection technique. Finally, the texture ridges are identified and vectorised."
analysis signal-processing image-processing
analysis signal-processing image-processing
asked Oct 25 '18 at 21:29
user38441user38441
62
asked Oct 25 '18 at 21:29
user38441user38441
62
asked Oct 25 '18 at 21:29
user38441user38441
62
asked Oct 25 '18 at 21:29
user38441user38441
62
asked Oct 25 '18 at 21:29
user38441user38441
62
62
add a comment |
add a comment |
1 Answer
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A contrast-invariant function is one that yields the same output before or after scaling intensities (i.e. increasing or decreasing contrast). For example, the function $g$ is contrast invariant if
$$g(f) = g(Cf);,$$
given an image $f$ and a positive constant $C$ (some contrast-invariant line detection algorithms might also yield the same results if $C$ is negative, but obviously not if it is zero).
answered Dec 6 '18 at 0:09
Cris LuengoCris Luengo
1578
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1 Answer
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1 Answer
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active
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active
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$begingroup$
A contrast-invariant function is one that yields the same output before or after scaling intensities (i.e. increasing or decreasing contrast). For example, the function $g$ is contrast invariant if
$$g(f) = g(Cf);,$$
given an image $f$ and a positive constant $C$ (some contrast-invariant line detection algorithms might also yield the same results if $C$ is negative, but obviously not if it is zero).
answered Dec 6 '18 at 0:09
Cris LuengoCris Luengo
1578
$endgroup$
add a comment |
$begingroup$
A contrast-invariant function is one that yields the same output before or after scaling intensities (i.e. increasing or decreasing contrast). For example, the function $g$ is contrast invariant if
$$g(f) = g(Cf);,$$
given an image $f$ and a positive constant $C$ (some contrast-invariant line detection algorithms might also yield the same results if $C$ is negative, but obviously not if it is zero).
answered Dec 6 '18 at 0:09
Cris LuengoCris Luengo
1578
$endgroup$
add a comment |
$begingroup$
A contrast-invariant function is one that yields the same output before or after scaling intensities (i.e. increasing or decreasing contrast). For example, the function $g$ is contrast invariant if
$$g(f) = g(Cf);,$$
given an image $f$ and a positive constant $C$ (some contrast-invariant line detection algorithms might also yield the same results if $C$ is negative, but obviously not if it is zero).
answered Dec 6 '18 at 0:09
Cris LuengoCris Luengo
1578
$endgroup$
A contrast-invariant function is one that yields the same output before or after scaling intensities (i.e. increasing or decreasing contrast). For example, the function $g$ is contrast invariant if
$$g(f) = g(Cf);,$$
given an image $f$ and a positive constant $C$ (some contrast-invariant line detection algorithms might also yield the same results if $C$ is negative, but obviously not if it is zero).
answered Dec 6 '18 at 0:09
Cris LuengoCris Luengo
1578
answered Dec 6 '18 at 0:09
Cris LuengoCris Luengo
1578
answered Dec 6 '18 at 0:09
Cris LuengoCris Luengo
1578
answered Dec 6 '18 at 0:09
Cris LuengoCris Luengo
1578
1578
add a comment |
add a comment |
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