From 138500c6e3fe1f945d19fe36fa086f9670cf6c7f Mon Sep 17 00:00:00 2001 From: Rob Campbell Date: Tue, 14 Aug 2018 11:57:40 +0100 Subject: [PATCH] Add example images and usage example --- .gitignore | 1 + @hilospeckle/hilospeckle.m | 53 +++++++++++++++----- @hilospeckle/runHiLo.m | 10 +++- README.md | 18 +++++++ example_images/HiLo_ImageJ_result_image.tif | Bin 0 -> 320168 bytes example_images/Readme.txt | 21 ++++++++ example_images/structured_speckle_image.tif | Bin 0 -> 320168 bytes example_images/uniform_image.tif | Bin 0 -> 320168 bytes 8 files changed, 89 insertions(+), 14 deletions(-) create mode 100644 .gitignore create mode 100644 example_images/HiLo_ImageJ_result_image.tif create mode 100644 example_images/Readme.txt create mode 100644 example_images/structured_speckle_image.tif create mode 100644 example_images/uniform_image.tif diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..5509140 --- /dev/null +++ b/.gitignore @@ -0,0 +1 @@ +*.DS_Store diff --git a/@hilospeckle/hilospeckle.m b/@hilospeckle/hilospeckle.m index 4512168..bd1f7ea 100644 --- a/@hilospeckle/hilospeckle.m +++ b/@hilospeckle/hilospeckle.m @@ -46,6 +46,7 @@ end properties (Hidden) + doVectorisedCamOTF=true verbose = false padded %boolean - true if images were padded impLo %The "Lo" image @@ -65,6 +66,13 @@ return end + try + gpuDevice + catch + obj.doGPU=false; + fprintf('Disabling GPU acceleration: no device found\n') + end + obj.uniformIm = uniformIm; obj.speckleIm = speckleIm; obj.runHiLo; @@ -183,24 +191,45 @@ function showResults(obj) - function pixel = createCameraOTF(~, imWidth, imHeight) + function pixel = createCameraOTF(obj, imWidth, imHeight) % Tested and produces something that looks plausible - pixel = ones(imHeight, imWidth); + + X = (2 * (1:imWidth) - imWidth) * pi / imWidth; + Y = (2 * (1:imHeight) - imHeight) * pi / imHeight; + + if obj.doVectorisedCamOTF %Faster but doesn't yield exactly the same answer as the loop + [xx,yy] = meshgrid(X,Y); + + pixel=sin(xx) .* sin(yy) ./ (xx .* yy); + + f=(xx == 0 & yy ~= 0); + t = sin(yy(f))./yy(f); + pixel(f)=t; + + f=(xx ~= 0 & yy == 0); + t = sin(xx(f))./xx(f); + pixel(f)=t; + + f=(xx == 0 & yy == 0); + pixel(f)=1; + + pixel(pixel<0) = 0; + return + end + + pixel = ones(imHeight, imWidth,'single'); for x = 1:imWidth for y = 1:imHeight - x1 = (2 * x - imWidth) * pi / imWidth; - y1 = (2 * y - imHeight) * pi / imHeight; - - if x1 ~= 0 && y1 ~= 0 - pixel(y,x) = sin(x1) * sin(y1) / x1 / y1; + if X(x) ~= 0 && Y(y) ~= 0 + pixel(y,x) = sin(X(x)) * sin(Y(y)) / (X(x) * Y(y)); - elseif x1 == 0 && y1 ~= 0 - pixel(y,x) = sin(y1) / y1; + elseif X(x) == 0 && Y(y) ~= 0 + pixel(y,x) = sin(Y(y)) / Y(y); - elseif x1 ~= 0 && y1 == 0 - pixel(y,x) = sin(x1) / x1; + elseif X(x) ~= 0 && Y(y) == 0 + pixel(y,x) = sin(X(x)) / X(x); %otherwise it's a one end @@ -213,7 +242,7 @@ function showResults(obj) function pixel = createImagingOTF(obj, numericalAperture, wavelengthInNM, sizeX, sizeY) - % Tested but tends to yield zero arrays + % Tested and seem to yield something meaningful BandWidth = 2 * numericalAperture / (wavelengthInNM * 1E-9); scaleUnits = obj.magnification / (obj.pixelSize * 1E-6) / BandWidth; diff --git a/@hilospeckle/runHiLo.m b/@hilospeckle/runHiLo.m index 00eeada..c506c02 100644 --- a/@hilospeckle/runHiLo.m +++ b/@hilospeckle/runHiLo.m @@ -144,9 +144,15 @@ function runHiLo(obj) obj.impLo = obj.impLo .* obj.eta; obj.HiloFinal(:,:,ii) = obj.impLo + obj.impHi; - + end %for ii = 1:size(obj.uniformIm,3) obj.HiloFinal(obj.HiloFinal<0)=0; obj.HiloFinal = uint16(obj.HiloFinal/max(obj.HiloFinal(:))*2^16); - fprintf('\nCompleted in %0.1f s\n', toc) + T=toc; + if T<2 + fprintf('\nCompleted in %0.3f s\n', T) + else + fprintf('\nCompleted in %0.1f s\n', T) + end + end % hilo \ No newline at end of file diff --git a/README.md b/README.md index 39548cc..67674d5 100644 --- a/README.md +++ b/README.md @@ -2,6 +2,24 @@ This is a very basic MATLAB implementation of the HiLo algorithm for structured illumination. +## Usage +``` +H=hilospeckle(ImageUniform, ImageSpeckle); %Run and show result image + +clf, imagesc(H.HiloFinal), axis equal off %re-plot result image + +%Change a setting and re-run +H.targetThickness=4; +H.runHiLo +H.showResults + +%Swap the speckle image with the unform image and re-run to compare with above +H.speckleIm = H.uniformIm; +H.runHiLo +figure +H.showResults +``` + ### References diff --git a/example_images/HiLo_ImageJ_result_image.tif b/example_images/HiLo_ImageJ_result_image.tif new file mode 100644 index 0000000000000000000000000000000000000000..9a5bdbddae87e8d3919cc0bab684c286b6e7e700 GIT binary patch literal 320168 zcmeEv1)NpI+y6Yz%$#%Y2Ho8u-6h=}(nu&J-5^MVgo1>El%#-^D1t~RAtDk=2#A1U z0D^#pNb3JP=f>XMy?1xUh$lbsAWmNyJ!N+KBPIq*M;lKb$*8*m1Sf3t!D;6zWG_224&sHp5s#J+m2s>DbKZz}n*aC?ykk|r=Es)p(i7k-W z0*Nh<*aC?ykk|r=Es)p(i7k-W0*Nh<*aC?ykk|r=Es)p(i7k-W0*Nh<*aC?ykk|r= zEs)p(i7k-W0*Nh<*aC?ykk|r=Es)p(i7k-W0*Nh<*aC?ykk|r=Es)p(i7k-W0*Nh< z*aC?ykk|qb+XD3c! 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