Average of multiple matrices

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Latifa Bouguessaa
Latifa Bouguessaa 2022년 7월 9일
댓글: Latifa Bouguessaa 2022년 7월 12일
Hello dear forum members
I have a question, I have 36 images and I want to calculate this formula (M=Bi - mean value of all images)
that is, I have to do a matrix as an average of the 36 images and then subtract the image from individual images Bi and at the end I sum the results.
does someone have an idea, how I realize this
Your Latifa

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Karim
Karim 2022년 7월 9일
편집: Karim 2022년 7월 10일
This depends how your images are stored in memory, if they are stored in a 3D array you can use the mean function
% generate 36 matrices, stored in a 3D array
IM = rand(60,60,36);
% here '3' indicates the 3d dimension (i.e. the slices)
MyMean = mean( IM, 3)
MyMean = 60×60
0.5423 0.5302 0.4499 0.6049 0.5529 0.4937 0.4482 0.5046 0.4249 0.5116 0.5654 0.5206 0.5490 0.4849 0.4883 0.4870 0.4785 0.5159 0.4727 0.4874 0.4605 0.5692 0.5124 0.5299 0.3905 0.5232 0.5547 0.4935 0.5231 0.4855 0.5468 0.4794 0.4764 0.5231 0.5032 0.5078 0.4658 0.4594 0.4497 0.5204 0.5166 0.4808 0.5565 0.4713 0.4848 0.4805 0.4335 0.5317 0.5321 0.4965 0.4896 0.5081 0.4681 0.3973 0.4686 0.4634 0.5425 0.5439 0.5559 0.4928 0.5300 0.5006 0.5265 0.4788 0.5069 0.5307 0.4282 0.5432 0.4681 0.4531 0.5471 0.5047 0.5714 0.4917 0.5110 0.5373 0.5117 0.4247 0.4278 0.4275 0.5413 0.5046 0.5123 0.4798 0.4597 0.5371 0.5881 0.4942 0.5025 0.5276 0.4752 0.4677 0.4788 0.4446 0.5567 0.4630 0.4647 0.5636 0.5216 0.5469 0.5187 0.4974 0.5457 0.5155 0.4299 0.5183 0.3784 0.4394 0.4890 0.4367 0.5318 0.4033 0.4858 0.5446 0.4996 0.4741 0.5789 0.4643 0.4695 0.5074 0.4532 0.3975 0.6091 0.4424 0.5648 0.4693 0.4671 0.4325 0.5529 0.4172 0.5023 0.4736 0.5148 0.5017 0.5227 0.5115 0.5303 0.4667 0.5141 0.5075 0.4537 0.4380 0.4438 0.5337 0.4947 0.5352 0.4409 0.4874 0.5363 0.5250 0.4288 0.5157 0.4929 0.4885 0.4616 0.5684 0.5134 0.5041 0.4447 0.4677 0.4846 0.4331 0.4827 0.5668 0.4760 0.4696 0.4597 0.5153 0.4943 0.5200 0.5452 0.5485 0.5282 0.5239 0.5404 0.4633 0.4966 0.4686 0.5248 0.4939 0.4564 0.4663 0.5359 0.5494 0.4919 0.5289 0.6235 0.4576 0.4335 0.5506 0.5256 0.4485 0.5047 0.4727 0.5368 0.4898 0.3592 0.4526 0.4088 0.5358 0.4045 0.3875 0.4460 0.4536 0.5408 0.4599 0.4638 0.5069 0.5380 0.5099 0.6138 0.3802 0.5928 0.4648 0.5081 0.4707 0.4212 0.4195 0.5440 0.4571 0.5042 0.5226 0.5296 0.5771 0.3977 0.5137 0.5115 0.4058 0.5647 0.4902 0.5190 0.5141 0.4769 0.5969 0.4781 0.4203 0.5499 0.4942 0.4371 0.4919 0.6080 0.5764 0.4546 0.4690 0.4312 0.5565 0.4930 0.4178 0.4755 0.4580 0.4496 0.4649 0.4300 0.4207 0.5368 0.4766 0.5311 0.4218 0.5017 0.4895 0.5588 0.5115 0.4546 0.5221 0.5602 0.5118 0.4663 0.5374 0.4802 0.4736 0.4812 0.5693 0.4882 0.5565 0.4741 0.5420 0.5190 0.5387 0.4813 0.5916 0.5528 0.5074 0.4795 0.5309 0.4927 0.5546 0.4946 0.5187 0.5807 0.5787 0.5524 0.5082 0.5658 0.5423 0.4987 0.6166 0.4134 0.5001 0.4329 0.4975
% subtract the mean from each slice
for i = 1:size(IM,3)
IM(:,:,i) = IM(:,:,i) - MyMean;
end
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Latifa Bouguessaa
Latifa Bouguessaa 2022년 7월 12일
thank you all very much for your help

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