資源簡介
SAR圖像變化檢測方法,包括了對數比和均值比兩種較為經典的仿真。本方法從圖像像素的角度出發,對圖像像素的灰度值進行操作。分別才用了均值法和對數比法,然后。本代碼適合新手使用,能讓初學者從圖像像素灰度值的角度去理解SAR圖像形變監測的理論

代碼片段和文件信息
%?BFILTER2?Two?dimensional?bilateral?filtering.
%????This?function?implements?2-D?bilateral?filtering?using
%????the?method?outlined?in:
%
%???????C.?Tomasi?and?R.?Manduchi.?Bilateral?Filtering?for?
%???????Gray?and?Color?Images.?In?Proceedings?of?the?IEEE?
%???????International?Conference?on?Computer?Vision?1998.?
%
%????B?=?bfilter2(AWSIGMA)?performs?2-D?bilateral?filtering
%????for?the?grayscale?or?color?image?A.?A?should?be?a?double
%????precision?matrix?of?size?NxMx1?or?NxMx3?(i.e.?grayscale
%????or?color?images?respectively)?with?normalized?values?in
%????the?closed?interval?[01].?The?half-size?of?the?Gaussian
%????bilateral?filter?window?is?defined?by?W.?The?standard
%????deviations?of?the?bilateral?filter?are?given?by?SIGMA
%????where?the?spatial-domain?standard?deviation?is?given?by
%????SIGMA(1)?and?the?intensity-domain?standard?deviation?is
%????given?by?SIGMA(2).
%
%?Douglas?R.?Lanman?Brown?University?September?2006.
%?dlanman@brown.edu?http://mesh.brown.edu/dlanman
%?我理解的意思是B=bfilter的第一個參數是待處理的圖片,第二個參數是算子長度,SIGMA(1)是空間的公式里的sigma,SIGMA(2)是公式像素值的SIGMA
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%?Pre-process?input?and?select?appropriate?filter.
%?下面幾個if判斷都是判斷輸入的參數是否正確
function?B?=?bfilter2(Awsigma)
%?Verify?that?the?input?image?exists?and?is?valid.
if?~exist(‘A‘‘var‘)?||?isempty(A)
???error(‘Input?image?A?is?undefined?or?invalid.‘);
end
if?~isfloat(A)?||?~sum([13]?==?size(A3))?||?...
??????min(A(:))?0?||?max(A(:))?>?1
???error([‘Input?image?A?must?be?a?double?precision?‘...
??????????‘matrix?of?size?NxMx1?or?NxMx3?on?the?closed?‘...
??????????‘interval?[01].‘]);??????
end
%?Verify?bilateral?filter?window?size.
%?nume1(w)判斷數組w中元素個數
if?~exist(‘w‘‘var‘)?||?isempty(w)?||?...
??????numel(w)?~=?1?||?w?1
???w?=?5;
end
%?將w朝正四舍五入
w?=?ceil(w);
%?Verify?bilateral?filter?standard?deviations.
if?~exist(‘sigma‘‘var‘)?||?isempty(sigma)?||?...
??????numel(sigma)?~=?2?||?sigma(1)?<=?0?||?sigma(2)?<=?0
???sigma?=?[3?0.1];
end
%?Apply?either?grayscale?or?color?bilateral?filtering.
if?size(A3)?==?1
???B?=?bfltGray(Awsigma(1)sigma(2));
else
???B?=?bfltColor(Awsigma(1)sigma(2));
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%?Implements?bilateral?filtering?for?grayscale?images.
function?B?=?bfltGray(Awsigma_dsigma_r)
%?Pre-compute?Gaussian?distance?weights.
[XY]?=?meshgrid(-w:w-w:w);
G?=?exp(-(X.^2+Y.^2)/(2*sigma_d^2));
%?Create?waitbar.
h?=?waitbar(0‘Applying?bilateral?filter...‘);
set(h‘Name‘‘Bilateral?Filter?Progress‘);
%?Apply?bilateral?filter.
dim?=?size(A);
B?=?zeros(dim);
for?i?=?1:dim(1)
???for?j?=?1:dim(2)
??????
?????????%?Extract?local?region.
?????????iMin?=?max(i-w1);
?????????iMax?=?min(i+wdim(1));
?????????jMin?=?max(j-w1);
?????????jMax?=?min(j+wdim(2));
?????????I?=?A(iMin:iMaxjMin:jMax);
??????
?????????%?Compute?Gaussian?intensity?weights.
?????????H?=?exp(-(I-A(ij)).^2/(2*sigma_r^2));
??????
?????????%?Calculate?bilateral?filter?response.
??????
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2019-08-29?20:42??SAR圖像變化檢測方法,包括了對數比和均值比兩種較為經典的,\
?????文件????????4905??2018-01-16?12:11??SAR圖像變化檢測方法,包括了對數比和均值比兩種較為經典的,\bfilter2.m
?????文件???????????0??2019-08-27?17:23??SAR圖像變化檢測方法,包括了對數比和均值比兩種較為經典的,\cols2.m
?????文件????????2863??2019-08-26?20:06??SAR圖像變化檢測方法,包括了對數比和均值比兩種較為經典的,\LOG_D_image.m
?????文件????????3485??2019-08-26?20:03??SAR圖像變化檢測方法,包括了對數比和均值比兩種較為經典的,\Maxture.m
?????文件????????3504??2019-08-26?20:00??SAR圖像變化檢測方法,包括了對數比和均值比兩種較為經典的,\MEAN_D_image.m
?????文件??????305254??2016-04-15?16:26??SAR圖像變化檢測方法,包括了對數比和均值比兩種較為經典的,\sar1gray.bmp
?????文件??????305254??2016-04-15?16:26??SAR圖像變化檢測方法,包括了對數比和均值比兩種較為經典的,\sar2gray.bmp
?????文件??????305254??2016-04-15?16:26??SAR圖像變化檢測方法,包括了對數比和均值比兩種較為經典的,\sarreference.bmp
?????文件???????????0??2019-08-26?17:51??SAR圖像變化檢測方法,包括了對數比和均值比兩種較為經典的,\Xm.m
?????文件??????103278??2019-08-27?17:41??SAR圖像變化檢測方法,包括了對數比和均值比兩種較為經典的,\Xm2.bmp
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