What preprocessing steps to be followed before image comparison?
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For example I am trying to find the similarity between two images using skimage - SSIM. The code block will be as follows
from skimage.measure import compare_ssim as ssim
from skimage import io
from skimage.transform import resize
a = io.imread("http://ecx.images-amazon.com/images/I/51PV4Dd8wAL._AC_UL246_SR190,246_.jpg",as_grey=False,dtype="float64")
b = io.imread("http://ecx.images-amazon.com/images/I/914ZHE6JolL._UY500_.jpg",as_grey=False,dtype="float64")
a = resize(a,b.shape)
ssim(a, b,multichannel=True)
I got the similarity score as follows
0.21009350738786017
Although both the images are same where one images in slightly oriented , I am getting very really low scores for this comparisons. Am I missing any preprocessing steps here before I compute compare images. If so what are the things I should consider before comparing images.
Thanks In Advance !!
python scikit-learn image-classification
asked Oct 17 '16 at 9:44
Vivek SrinivasanVivek Srinivasan
112
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bumped to the homepage by Community♦ 8 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
1
down vote
favorite
For example I am trying to find the similarity between two images using skimage - SSIM. The code block will be as follows
from skimage.measure import compare_ssim as ssim
from skimage import io
from skimage.transform import resize
a = io.imread("http://ecx.images-amazon.com/images/I/51PV4Dd8wAL._AC_UL246_SR190,246_.jpg",as_grey=False,dtype="float64")
b = io.imread("http://ecx.images-amazon.com/images/I/914ZHE6JolL._UY500_.jpg",as_grey=False,dtype="float64")
a = resize(a,b.shape)
ssim(a, b,multichannel=True)
I got the similarity score as follows
0.21009350738786017
Although both the images are same where one images in slightly oriented , I am getting very really low scores for this comparisons. Am I missing any preprocessing steps here before I compute compare images. If so what are the things I should consider before comparing images.
Thanks In Advance !!
python scikit-learn image-classification
asked Oct 17 '16 at 9:44
Vivek SrinivasanVivek Srinivasan
112
$endgroup$
bumped to the homepage by Community♦ 8 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
1
down vote
favorite
For example I am trying to find the similarity between two images using skimage - SSIM. The code block will be as follows
from skimage.measure import compare_ssim as ssim
from skimage import io
from skimage.transform import resize
a = io.imread("http://ecx.images-amazon.com/images/I/51PV4Dd8wAL._AC_UL246_SR190,246_.jpg",as_grey=False,dtype="float64")
b = io.imread("http://ecx.images-amazon.com/images/I/914ZHE6JolL._UY500_.jpg",as_grey=False,dtype="float64")
a = resize(a,b.shape)
ssim(a, b,multichannel=True)
I got the similarity score as follows
0.21009350738786017
Although both the images are same where one images in slightly oriented , I am getting very really low scores for this comparisons. Am I missing any preprocessing steps here before I compute compare images. If so what are the things I should consider before comparing images.
Thanks In Advance !!
python scikit-learn image-classification
asked Oct 17 '16 at 9:44
Vivek SrinivasanVivek Srinivasan
112
$endgroup$
1
down vote
favorite
For example I am trying to find the similarity between two images using skimage - SSIM. The code block will be as follows
from skimage.measure import compare_ssim as ssim
from skimage import io
from skimage.transform import resize
a = io.imread("http://ecx.images-amazon.com/images/I/51PV4Dd8wAL._AC_UL246_SR190,246_.jpg",as_grey=False,dtype="float64")
b = io.imread("http://ecx.images-amazon.com/images/I/914ZHE6JolL._UY500_.jpg",as_grey=False,dtype="float64")
a = resize(a,b.shape)
ssim(a, b,multichannel=True)
I got the similarity score as follows
0.21009350738786017
Although both the images are same where one images in slightly oriented , I am getting very really low scores for this comparisons. Am I missing any preprocessing steps here before I compute compare images. If so what are the things I should consider before comparing images.
Thanks In Advance !!
python scikit-learn image-classification
python scikit-learn image-classification
asked Oct 17 '16 at 9:44
Vivek SrinivasanVivek Srinivasan
112
asked Oct 17 '16 at 9:44
Vivek SrinivasanVivek Srinivasan
112
asked Oct 17 '16 at 9:44
Vivek SrinivasanVivek Srinivasan
112
asked Oct 17 '16 at 9:44
Vivek SrinivasanVivek Srinivasan
112
asked Oct 17 '16 at 9:44
Vivek SrinivasanVivek Srinivasan
112
112
bumped to the homepage by Community♦ 8 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ 8 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
add a comment |
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There is not any fault! This is one of pitfalls of SSIM. It is very sensitive to the geometrical degradations such as orientation!
edited Jan 9 at 16:05
bradS
628112
answered Jan 9 at 3:23
arash ashtariarash ashtari
91
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$begingroup$
There is not any fault! This is one of pitfalls of SSIM. It is very sensitive to the geometrical degradations such as orientation!
edited Jan 9 at 16:05
bradS
628112
answered Jan 9 at 3:23
arash ashtariarash ashtari
91
$endgroup$
add a comment |
$begingroup$
There is not any fault! This is one of pitfalls of SSIM. It is very sensitive to the geometrical degradations such as orientation!
edited Jan 9 at 16:05
bradS
628112
answered Jan 9 at 3:23
arash ashtariarash ashtari
91
$endgroup$
add a comment |
$begingroup$
There is not any fault! This is one of pitfalls of SSIM. It is very sensitive to the geometrical degradations such as orientation!
edited Jan 9 at 16:05
bradS
628112
answered Jan 9 at 3:23
arash ashtariarash ashtari
91
$endgroup$
There is not any fault! This is one of pitfalls of SSIM. It is very sensitive to the geometrical degradations such as orientation!
edited Jan 9 at 16:05
bradS
628112
answered Jan 9 at 3:23
arash ashtariarash ashtari
91
edited Jan 9 at 16:05
bradS
628112
edited Jan 9 at 16:05
bradS
628112
edited Jan 9 at 16:05
bradS
628112
628112
answered Jan 9 at 3:23
arash ashtariarash ashtari
91
answered Jan 9 at 3:23
arash ashtariarash ashtari
91
answered Jan 9 at 3:23
arash ashtariarash ashtari
91
91
add a comment |
add a comment |
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