e********e 发帖数: 35 | 1 Hi everyone,
I have a series of 2D surfaces over time, and wish to find each pair's
similarities. You may imagine the surface
as a rectangle patch of a sea surface, and wondering how this part of the
sea surface is changed over time, in
terms of a similarity or dissimilarity measure ( a scalar value).
Any suggestions appreciated. Many thanks. |
e********e 发帖数: 35 | 2 P.S. I am not a student and this is not part of some homework or course
assignment. Thanks. |
o****o 发帖数: 8077 | 3 co-ask. I have the same problem in my work, i.e similarity between matrices |
o****o 发帖数: 8077 | 4 查了一下,可以试着google “similarity between images” |
e********e 发帖数: 35 | 5 I've changed my viewpoint and have converted my problem to another one. For
similarities between images there are lots of approaches but accuracy may be
a point. I previously used the idea of simply computing the correlation
coefficients between the two (similar to the matched filter idea, if i am
correct), and it's kind of close. For matrices perhaps can just regard them
as a vector (either by row or by column).
Let me know please if you come to something interesting. thanks. |
o****o 发帖数: 8077 | 6 Regarding the matrices as a vector will lose spatial information in my case
For
be
them
【在 e********e 的大作中提到】 : I've changed my viewpoint and have converted my problem to another one. For : similarities between images there are lots of approaches but accuracy may be : a point. I previously used the idea of simply computing the correlation : coefficients between the two (similar to the matched filter idea, if i am : correct), and it's kind of close. For matrices perhaps can just regard them : as a vector (either by row or by column). : Let me know please if you come to something interesting. thanks.
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