Condense a discrete function (histogram) in a single value
Basically I need to store (in a database) and subsequently fast compare histograms of two images.
Let's say I have an image and the green histograms is:
Where basically I have 4 buckects, and green pixel from 0 to 63 are 15 and so on.
How could I condense this graph in a numeric value so I can easly compare it to a new image?
The most simple solution is to create a string like this:
15.12.22.9
^ ^
>--|--------number of pixel from 0-64
>--------number of pixel from 64-127
(and so on)
The problem with this solution is that i can't easly compare 2 images with similar value. Let's say I have another images with the green histogram is:
14.12.22.9
^
> 14 pixel instead of 15
This new image is basically the same with just 1 pixel less of 0-63 range. But I can't easly compare this 2 strings
functions
edited 2 days ago
Glorfindel
3,41981830
asked Jun 1 '12 at 20:48
dynamicdynamic
1608
add a comment |
Basically I need to store (in a database) and subsequently fast compare histograms of two images.
Let's say I have an image and the green histograms is:
Where basically I have 4 buckects, and green pixel from 0 to 63 are 15 and so on.
How could I condense this graph in a numeric value so I can easly compare it to a new image?
The most simple solution is to create a string like this:
15.12.22.9
^ ^
>--|--------number of pixel from 0-64
>--------number of pixel from 64-127
(and so on)
The problem with this solution is that i can't easly compare 2 images with similar value. Let's say I have another images with the green histogram is:
14.12.22.9
^
> 14 pixel instead of 15
This new image is basically the same with just 1 pixel less of 0-63 range. But I can't easly compare this 2 strings
functions
edited 2 days ago
Glorfindel
3,41981830
asked Jun 1 '12 at 20:48
dynamicdynamic
1608
1
> How could I condense this graph in a numeric value so I can easly compare it to a new image? Just store the tuple of 4 numbers. What's wrong with that? the 4 numbers occupy less space than a string, and are easier to compare.
– leonbloy
Jun 1 '12 at 21:04
@leonbloy: that would lock the database table to a given number of buckets, i would avoid that
– dynamic
Jun 1 '12 at 21:24
And, consider for example we choose 50 buckets for each channel (RGB), that would mean a table with 150 field on the table. Not good
– dynamic
Jun 1 '12 at 21:27
add a comment |
Basically I need to store (in a database) and subsequently fast compare histograms of two images.
Let's say I have an image and the green histograms is:
Where basically I have 4 buckects, and green pixel from 0 to 63 are 15 and so on.
How could I condense this graph in a numeric value so I can easly compare it to a new image?
The most simple solution is to create a string like this:
15.12.22.9
^ ^
>--|--------number of pixel from 0-64
>--------number of pixel from 64-127
(and so on)
The problem with this solution is that i can't easly compare 2 images with similar value. Let's say I have another images with the green histogram is:
14.12.22.9
^
> 14 pixel instead of 15
This new image is basically the same with just 1 pixel less of 0-63 range. But I can't easly compare this 2 strings
functions
edited 2 days ago
Glorfindel
3,41981830
asked Jun 1 '12 at 20:48
dynamicdynamic
1608
Basically I need to store (in a database) and subsequently fast compare histograms of two images.
Let's say I have an image and the green histograms is:
Where basically I have 4 buckects, and green pixel from 0 to 63 are 15 and so on.
How could I condense this graph in a numeric value so I can easly compare it to a new image?
The most simple solution is to create a string like this:
15.12.22.9
^ ^
>--|--------number of pixel from 0-64
>--------number of pixel from 64-127
(and so on)
The problem with this solution is that i can't easly compare 2 images with similar value. Let's say I have another images with the green histogram is:
14.12.22.9
^
> 14 pixel instead of 15
This new image is basically the same with just 1 pixel less of 0-63 range. But I can't easly compare this 2 strings
functions
functions
edited 2 days ago
Glorfindel
3,41981830
asked Jun 1 '12 at 20:48
dynamicdynamic
1608
edited 2 days ago
Glorfindel
3,41981830
asked Jun 1 '12 at 20:48
dynamicdynamic
1608
edited 2 days ago
Glorfindel
3,41981830
edited 2 days ago
Glorfindel
3,41981830
edited 2 days ago
Glorfindel
3,41981830
3,41981830
asked Jun 1 '12 at 20:48
dynamicdynamic
1608
asked Jun 1 '12 at 20:48
dynamicdynamic
1608
asked Jun 1 '12 at 20:48
dynamicdynamic
1608
1608
1
> How could I condense this graph in a numeric value so I can easly compare it to a new image? Just store the tuple of 4 numbers. What's wrong with that? the 4 numbers occupy less space than a string, and are easier to compare.
– leonbloy
Jun 1 '12 at 21:04
@leonbloy: that would lock the database table to a given number of buckets, i would avoid that
– dynamic
Jun 1 '12 at 21:24
And, consider for example we choose 50 buckets for each channel (RGB), that would mean a table with 150 field on the table. Not good
– dynamic
Jun 1 '12 at 21:27
add a comment |
1
> How could I condense this graph in a numeric value so I can easly compare it to a new image? Just store the tuple of 4 numbers. What's wrong with that? the 4 numbers occupy less space than a string, and are easier to compare.
– leonbloy
Jun 1 '12 at 21:04
@leonbloy: that would lock the database table to a given number of buckets, i would avoid that
– dynamic
Jun 1 '12 at 21:24
And, consider for example we choose 50 buckets for each channel (RGB), that would mean a table with 150 field on the table. Not good
– dynamic
Jun 1 '12 at 21:27
1
1
> How could I condense this graph in a numeric value so I can easly compare it to a new image? Just store the tuple of 4 numbers. What's wrong with that? the 4 numbers occupy less space than a string, and are easier to compare.
– leonbloy
Jun 1 '12 at 21:04
> How could I condense this graph in a numeric value so I can easly compare it to a new image? Just store the tuple of 4 numbers. What's wrong with that? the 4 numbers occupy less space than a string, and are easier to compare.
– leonbloy
Jun 1 '12 at 21:04
@leonbloy: that would lock the database table to a given number of buckets, i would avoid that
– dynamic
Jun 1 '12 at 21:24
@leonbloy: that would lock the database table to a given number of buckets, i would avoid that
– dynamic
Jun 1 '12 at 21:24
And, consider for example we choose 50 buckets for each channel (RGB), that would mean a table with 150 field on the table. Not good
– dynamic
Jun 1 '12 at 21:27
And, consider for example we choose 50 buckets for each channel (RGB), that would mean a table with 150 field on the table. Not good
– dynamic
Jun 1 '12 at 21:27
add a comment |
1 Answer
1
active
oldest
votes
Some options:
- Store the full information, eg as a array of numbers (if your DB supports some ARRAY datatype), or as a hexadecimal string, or a JSON string, or whatever representation that suits you (but not "a numeric value", that does not make much sense)
- Depending on what you consider to be a good measure of similarity, you could store, say, three numbers per channel (what would correspond to a decimated 3-buckets histogram)
The advantage of 1 is that you retain the full information and coul do a good comparison. The disadvantage is that it might be difficult to do compute the difference, specially inside the database, specially for varying number of buckets.
answered Jun 1 '12 at 21:48
leonbloyleonbloy
40.5k645107
add a comment |
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1 Answer
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active
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Some options:
- Store the full information, eg as a array of numbers (if your DB supports some ARRAY datatype), or as a hexadecimal string, or a JSON string, or whatever representation that suits you (but not "a numeric value", that does not make much sense)
- Depending on what you consider to be a good measure of similarity, you could store, say, three numbers per channel (what would correspond to a decimated 3-buckets histogram)
The advantage of 1 is that you retain the full information and coul do a good comparison. The disadvantage is that it might be difficult to do compute the difference, specially inside the database, specially for varying number of buckets.
answered Jun 1 '12 at 21:48
leonbloyleonbloy
40.5k645107
add a comment |
Some options:
- Store the full information, eg as a array of numbers (if your DB supports some ARRAY datatype), or as a hexadecimal string, or a JSON string, or whatever representation that suits you (but not "a numeric value", that does not make much sense)
- Depending on what you consider to be a good measure of similarity, you could store, say, three numbers per channel (what would correspond to a decimated 3-buckets histogram)
The advantage of 1 is that you retain the full information and coul do a good comparison. The disadvantage is that it might be difficult to do compute the difference, specially inside the database, specially for varying number of buckets.
answered Jun 1 '12 at 21:48
leonbloyleonbloy
40.5k645107
add a comment |
Some options:
- Store the full information, eg as a array of numbers (if your DB supports some ARRAY datatype), or as a hexadecimal string, or a JSON string, or whatever representation that suits you (but not "a numeric value", that does not make much sense)
- Depending on what you consider to be a good measure of similarity, you could store, say, three numbers per channel (what would correspond to a decimated 3-buckets histogram)
The advantage of 1 is that you retain the full information and coul do a good comparison. The disadvantage is that it might be difficult to do compute the difference, specially inside the database, specially for varying number of buckets.
answered Jun 1 '12 at 21:48
leonbloyleonbloy
40.5k645107
Some options:
- Store the full information, eg as a array of numbers (if your DB supports some ARRAY datatype), or as a hexadecimal string, or a JSON string, or whatever representation that suits you (but not "a numeric value", that does not make much sense)
- Depending on what you consider to be a good measure of similarity, you could store, say, three numbers per channel (what would correspond to a decimated 3-buckets histogram)
The advantage of 1 is that you retain the full information and coul do a good comparison. The disadvantage is that it might be difficult to do compute the difference, specially inside the database, specially for varying number of buckets.
answered Jun 1 '12 at 21:48
leonbloyleonbloy
40.5k645107
answered Jun 1 '12 at 21:48
leonbloyleonbloy
40.5k645107
answered Jun 1 '12 at 21:48
leonbloyleonbloy
40.5k645107
answered Jun 1 '12 at 21:48
leonbloyleonbloy
40.5k645107
40.5k645107
add a comment |
add a comment |
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1
> How could I condense this graph in a numeric value so I can easly compare it to a new image? Just store the tuple of 4 numbers. What's wrong with that? the 4 numbers occupy less space than a string, and are easier to compare.
– leonbloy
Jun 1 '12 at 21:04
@leonbloy: that would lock the database table to a given number of buckets, i would avoid that
– dynamic
Jun 1 '12 at 21:24
And, consider for example we choose 50 buckets for each channel (RGB), that would mean a table with 150 field on the table. Not good
– dynamic
Jun 1 '12 at 21:27