https://community.wolfram.com RSS Feed for Wolfram Community showing any discussions tagged with Image Processing sorted by active. https://community.wolfram.com/groups/-/m/t/3639468 ![Using Wolfram language for early breast cancer detection][1] &[Wolfram Notebook][2] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=57809493hero.png&userId=20103 [2]: https://www.wolframcloud.com/obj/0adc3b10-77ad-4ce6-b0c1-d07647aaa79c Jimena Rodríguez Vargas 2026-02-14T01:30:02Z https://community.wolfram.com/groups/-/m/t/401838 Hi all, As we are writing up a publication for which we used the built-in function **MorphologicalGraph**, I was wondering whether someone could tell if this function is based on a known, named algorithm so that I can also refer to the exact algorithm that lies at the basis of our findings. Thanks, Jan Jan Baetens 2014-12-04T12:01:47Z https://community.wolfram.com/groups/-/m/t/2593151 **Introducing our brand new YouTube channel, [Wolfram R&D][1]! 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Rich motion via tiny math. Compression is an aspect of art. Mind connects the dots without lines; and also in time - beyond space. Artist's design is spatiotemporal - the dynamics is Intricate - time are space pattern are entangled. High visual complexity from a very short code. OLD QUESTION: How does the mind make a creature from dots? Enactivism says perception is something you do, not something that happens to you. 4E cognition puts that into four plain ideas: your mind is embodied in a body, embedded in a situation, enacted through action and perception, and can extend into tools, like a screen. This animation shows it cleanly. The code does not contain a “creature” as an object. Your visual system builds one by tracking coherent motion, binding thousands of dots into one moving agent, and using your expectations about how living things move to keep that agent stable from moment to moment. The “life” you feel is the mind doing its job: turning raw motion into a usable world. ## Original p5.JS Processing code: > a=(y=i/790,d=mag(k=(y<8?9+sin(y^9)*6:4+cos(y))*cos(i+t/4),e=y/3-13)+cos(e+t*2+i%2*4))=>point((q=y*k/5*(2+sin(d*2+y-t*4))+80)*cos(c=d/4-t/2+i%2*3)+200,q*sin(c)+d*9+60) t=0,draw=$=>{t||createCanvas(w=400,w);background(9).stroke(w,116);for(t+=PI/90,i=1e4;i--;)a()} ## Translation into Wolfram Language Compile function exactPointData = Compile[{{t, _Real}}, Table[ Module[{y, k, e, d, q, c, xCoord, yCoord, iVal}, iVal = N[i]; y = iVal/790.0; e = y/3.0 - 13.0; k = If[y < 8.0, 9.0 + 6.0 * Sin[BitXor[Floor[y], 9]], 4.0 + Cos[y] ] * Cos[iVal + t/4.0]; d = Sqrt[k^2 + e^2] + Cos[e + t*2.0 + Mod[i, 2]*4.0]; q = (y * k / 5.0) * (2.0 + Sin[d*2.0 + y - t*4.0]) + 80.0; c = d/4.0 - t/2.0 + Mod[i, 2]*3.0; xCoord = q * Cos[c] + 200.0; yCoord = -(q * Sin[c] + d*9.0 + 60.0); {xCoord, yCoord} ], {i, 9999, 0, -1} ], RuntimeOptions -> "Speed" ]; ## Collage of random frames, rotations, reflections ImageCollage[Table[ ImageCrop@ ImageRotate[#,RandomChoice[{0,Pi}]]&@ ImageReflect[#,RandomChoice[{Left,Top}]]&@ Rasterize[Graphics[ {Opacity[0.9], PointSize[.002], White,Point[exactPointData[RandomReal[8Pi]]]}, Background -> GrayLevel[0.035], (* background(9) approx 9/255 *) PlotRange -> {{40, 360}, {-390, -10}}, ImageSize -> 550 ]],6],Method->"Rows"] ![enter image description here][2] ## 3D image stack in semitransparent background Image3D[Rasterize/@frames,ViewPoint->Top,Background->Opacity[.75],ImageSize->550] ![enter image description here][3] ## 3D image stack rotation in fully transparent background Image3D[Rasterize/@frames,ColorFunction->"XRay", Background->Black,BoxRatios->{1, 1, 1},SphericalRegion->True] ![enter image description here][4] ## Animate with Manipulate function: Manipulate[ Graphics[ {Opacity[0.75], PointSize[.002], White,Point[exactPointData[t]]}, Background -> GrayLevel[0.035], PlotRange -> {{40, 360}, {-390, -10}}, ImageSize -> 550 ], {{t, 19.35, "Time"}, 19.35, 19.35+ 8 Pi,AnimationRate->.1,Appearance->"Open"} ] ![enter image description here][5] ## Animated GIF (see top image) frames=Table[ Graphics[ {Opacity[0.9], PointSize[.002], White,Point[exactPointData[t]]}, Background -> GrayLevel[0.035], (* background(9) approx 9/255 *) PlotRange -> {{40, 360}, {-390, -10}}, ImageSize -> 550 ], {t, 19.35, 19.35+ 4 Pi, 4 Pi/200.} ]; SetDirectory[NotebookDirectory[]] Export["wjelly.gif",frames,ImageSize->550,"DisplayDurations"->.03] ## 3D image stack GiF - infinity spin Be carful with CPU and RAM usage for the code below. frames=Table[ Rasterize@Graphics[ {Opacity[0.9], PointSize[.002], White,Point[exactPointData[t]]}, Background -> GrayLevel[0.035], (* background(9) approx 9/255 *) PlotRange -> {{40, 360}, {-390, -10}}, ImageSize -> 200 ], {t, 19.35, 19.35+ 4 Pi, 4 Pi/200.} ]; ClearAll[ing3D]; ing3D[d_]:=Image3D[d,ViewPoint->Top,Background->Opacity[.75],ImageSize->550] frm=ParallelTable[Rasterize[ing3D[RotateLeft[frames,k]]],{k,0,200,1}]; Export["wjelly3D.gif",frm,ImageSize->550,"DisplayDurations"->.03] ![enter image description here][6] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=wjelly2-ezgif.com-optimize.gif&userId=11733 [2]: https://community.wolfram.com//c/portal/getImageAttachment?filename=4146g4q5ergfq543gdf.jpg&userId=11733 [3]: https://community.wolfram.com//c/portal/getImageAttachment?filename=cdgwhsfdbfv.jpg&userId=11733 [4]: https://community.wolfram.com//c/portal/getImageAttachment?filename=sfd4w5wfdadsfSDF4.gif&userId=11733 [5]: https://community.wolfram.com//c/portal/getImageAttachment?filename=fg4qdsbb54.jpg&userId=11733 [6]: https://community.wolfram.com//c/portal/getImageAttachment?filename=wjelly3D-ezgif.com-optimize.gif&userId=11733 Vitaliy Kaurov 2026-02-10T06:13:14Z https://community.wolfram.com/groups/-/m/t/3629764 ![Dynamic chromostereopsis visual illusion][1] In response of Vitaliy's [MSE post for generating chromostereopsis visual illusion][2], I am Providing an updated version of code using more sophisticated transformation function. For different angle rot a bit different the animation is. im = Rasterize[ ImageApply[#*RandomChoice[{0, 1}] &, Rasterize[ Graphics[{Riffle[{Red, Black, Blue, Black, Red}, Disk[{0, 0}, #] & /@ ({10, 7, 6, 4, 3}/10)]}, PlotRange -> 1.1, Background -> Black], RasterSize -> 240]], RasterSize -> 2*240] rot = 2 Pi - Pi/4; tr[r_] := Evaluate[RotationMatrix[fi] . {-(Sin[(r - 1) rot]/(2 rot)), ( 1 - Cos[(r - 1) rot])/(2 rot)}] Table[ImageForwardTransformation[im, # + tr[Norm[#]] &, DataRange -> {{-1, 1}, {-1, 1}}], {fi, 0, 2 Pi - 2 Pi/30, 2 Pi/30}]; Export["C:\\ill.gif", %] ![enter image description here][3] ![enter image description here][4] ##Old version This is very slow for resolution 480 x 480 pixels and 30 frames. Maybe someone knows how to take advantage of GPU to do the transformations. Also the transformation function needs finer tuning by changing parameters to resemble the original better but as a start point it is good I think. im = Rasterize[ ImageApply[#*RandomChoice[{0, 1}] &, Rasterize[ Graphics[{Riffle[{Red, Black, Blue, Black, Red}, Disk[{0, 0}, #] & /@ ({10, 7, 6, 4, 3}/10)]}, PlotRange -> 1.3, Background -> Black], RasterSize -> 240]], RasterSize -> 2*240] Table[ImageForwardTransformation[ im, ((f |-> # + 1/5 {Cos[fi + (Pi + Pi Cos[2 Pi Sqrt[2] f])/3], Sin[fi + (Pi + Pi Cos[2 Pi Sqrt[2] f])/3]} (f + 0.1))@Sqrt[ Total[(# - 1/2)^2]]) &], {fi, 0, 2 Pi - 2 Pi/30, 2 Pi/30}]; Export["C:\\ill.gif", %] ![enter image description here][5] ![enter image description here][6] Random dots free. n = 0.25; Manipulate[ Graphics[{Point[{0, 0}], Riffle[{Red, Black, Blue, Black, Red}, Table[Disk[0.1 Sum[{Cos[a + q n Pi], Sin[a + q n Pi]}, {q, i}], 1 - i/6], {i, 5}]]}, PlotRange -> 1], {a, 0, 2 Pi}] ![enter image description here][7] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=Dynamicchromostereopsisvisualillusion.gif&userId=20103 [2]: https://mathematica.stackexchange.com/q/311180 [3]: https://community.wolfram.com//c/portal/getImageAttachment?filename=pGKp0Wfg.png&userId=20103 [4]: https://community.wolfram.com//c/portal/getImageAttachment?filename=lDd2OK9F.gif&userId=20103 [5]: https://community.wolfram.com//c/portal/getImageAttachment?filename=A235zsf8.png&userId=20103 [6]: https://community.wolfram.com//c/portal/getImageAttachment?filename=26nZNT9M.gif&userId=20103 [7]: https://community.wolfram.com//c/portal/getImageAttachment?filename=bZYCQBgU.gif&userId=20103 Azer Bajdzan 2026-01-28T15:13:14Z https://community.wolfram.com/groups/-/m/t/3602464 [![Reviving the Praxinoscope: visualizing solar dynamics in 3D][2]][1] *Click on the image for full video* &[Wolfram Notebook][3] [1]: https://drive.google.com/file/d/1wG18OxEECK_1SzOdL-OPBpqm_LxSilON/view [2]: https://community.wolfram.com//c/portal/getImageAttachment?filename=PraxinoschopeMovie.gif&userId=20103 [3]: https://www.wolframcloud.com/obj/bda14c9d-8964-426d-9d04-47ab48975be4 Gilmer Gary 2026-01-07T15:32:08Z https://community.wolfram.com/groups/-/m/t/3603965 [![Archaeoastronomy with Wolfram: 3D modeling of Neolithic circular ditches in Central Europe][1]][2] &[Wolfram Notebook][3] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=3801ArchaeoastronomywithWolfram3DmodelingofNeolithiccircularditchesinCentralEurope.png&userId=20103 [2]: https://community.wolfram.com//c/portal/getImageAttachment?filename=3801ArchaeoastronomywithWolfram3DmodelingofNeolithiccircularditchesinCentralEurope.png&userId=20103 [3]: https://www.wolframcloud.com/obj/6c3ea052-adb5-493d-8db1-790de5315729 Jessica Alfonsi 2026-01-09T18:02:28Z https://community.wolfram.com/groups/-/m/t/3061982 I'm interested in Wolfram because I want to use Neural Nets and ML for creative purposes and from what I can see its probably the most powerful tool out there (conceptually at least) but this isn't useful if I can't make art with it. While there are examples that show the power of Wolfram language, as a professional artist I want to know how I might use this potential in a practical way. Can I use a Wolfram product to make sound installations like I do with Max MSP for example. Can I generate high res images for data projection? Can the audio work in real-time and integrate with a Mac audio system? What is the quality of the FFT conversions, audio compression and audio filtering etc etc. Can I use Wolfram products to communicate with a DAW for example using the audio manager or a system like Jack I/O? I don't necessarily expect specific answers to these questions - I'm wanting to assess how useful Wolfram stuff is generally speaking. Are there other artists out there wanting to use Wolfram products in a serious way and not just the "lets have fun with audio" kind of way - ditto for images and video? So comments suggestions, examples of work would be great. Thanks Peter Mcilwain 2023-11-08T03:40:12Z https://community.wolfram.com/groups/-/m/t/3596196 &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/8e418893-295f-439c-a551-d1210c3cb51b Soumya Sambeet Mohapatra 2025-12-24T09:53:37Z https://community.wolfram.com/groups/-/m/t/3585514 ![Monads natural transformations: categories for the working programmers][1] &[Wolfram Notebook][2] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=9112Monadsnaturaltransformationscategoriesfortheworkingprogrammers.png&userId=20103 [2]: https://www.wolframcloud.com/obj/02fbc58e-0761-4081-b3dc-d9883d7ad05a Dara Shayda 2025-12-04T15:07:02Z https://community.wolfram.com/groups/-/m/t/3574627 ![Digital mimicry: optimizing camouflage with Wolfram][1] &[Wolfram Notebook][2] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=1007hero.gif&userId=20103 [2]: https://www.wolframcloud.com/obj/0d7ef66b-5f95-4a13-91ac-c2e319bc170e Lucas Queiroz 2025-11-13T17:22:50Z https://community.wolfram.com/groups/-/m/t/3578728 ![Wolfram & Raspberry Pi 5 — Part 3: neural networks, image processing and physics simulations][1] &[Wolfram Notebook][2] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=WolframandRaspberryPi5Part3.png&userId=20103 [2]: https://www.wolframcloud.com/obj/375d99eb-3120-4500-8340-2335d618812a Bart ter Haar Romeny 2025-11-20T18:57:58Z https://community.wolfram.com/groups/-/m/t/3577991 ![Wolfram & Raspberry Pi 5 — Part 1: STEM lab setup and real-time data][1] &[Wolfram Notebook][2] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=STEMlabsetupandreal-timedata.png&userId=20103 [2]: https://www.wolframcloud.com/obj/e7ca3b71-26d7-44dc-b53d-dca49aba9f6e Bart ter Haar Romeny 2025-11-19T19:28:05Z https://community.wolfram.com/groups/-/m/t/3576407 &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/d5e503d0-fd3a-4122-b2cd-7a4e53c19070 Este proyecto explora el uso de herramientas de I.A y Machine Learning para la detección de cáncer de mama a partir del análisis de mamografías. Este notebook fue producto del Texas Tech Girls Hackathon 2025 en Costa Rica. Victoria García Montenegro 2025-11-16T23:14:45Z https://community.wolfram.com/groups/-/m/t/3575858 &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/1d2bb4a1-3d08-495a-a41f-4c0ad0026661 Natalia Pastrana 2025-11-16T20:56:30Z https://community.wolfram.com/groups/-/m/t/3027155 Hi everybody! We're running a series of Data Science Friday webinars starting this coming Friday (Oct. 6, 2023) and running through the end of the month. This series will help you get a sense of how to work with data in Wolfram Language—importing, cleaning, visualizing and more with data spanning from traffic cameras to geological surveys to Mars and even other galaxies! ![enter image description here][1] The first webinar—again, that's this Friday, October 6 2023—will be lead by [@Tom Sherlock][at0] and will cover how to create the amazing images he shows [in this notebook][2] by using data from the James Webb Space Telescope. This webinar will primarily focus on image analysis and construction, with later webinars focusing on video creation, geographic visualization and even a combination of graph theory, image processing and machine learning. You can register for this series [**HERE**.][3] All sessions will start at noon Central US time. Remember that even if you can't make it to every Friday session, registration means that you'll get a link to the recordings delivered right to your inbox. We hope to see you there! I will update this post each week with information on that Friday's presentation; please feel free to post follow-up questions or comments here as well. ![enter image description here][4] [at0]: https://community.wolfram.com/web/sherlock [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=DS-Webinar-bigMarker-session-banner.png&userId=1711324 [2]: https://community.wolfram.com/groups/-/m/t/2997129 [3]: https://www.bigmarker.com/series/data-science-friday-2023/series_details?utm_bmcr_source=community [4]: https://community.wolfram.com//c/portal/getImageAttachment?filename=WolframUBanner.jpg&userId=1711324 Arben Kalziqi 2023-10-04T18:43:29Z https://community.wolfram.com/groups/-/m/t/3567933 I have a bracketed set of images that represent radiance data. Linearity of the data must be maintained throughout the workflow. [This post][1] explains the problem well for a non-Wolfram Language workflow. I have questions about how several functions interact with the data. My image files are Nikon RAW files (.NEF). This means that my image data is linear in the original files. Import If I execute `img = Import[“my.DNG”]` will img contain linear data (scene referenced) or will it be processed with a gamma curve into a display referenced image? If the later is there a way to import an image and maintain linearity in the data? ImageExposureCombine Assume I have a list of images imageList and execute `hdr = ImageExposureCombine[imageList , "HDR"]` will hdr be a linear combination of the images or is tone mapping applied? ColorConvert `ColorConvert[hdr, "Grayscale"]` rescales the data between 0 and 1. Is there a way to convert color images to grayscale and preserve the original scaling? [1]: https://people.csail.mit.edu/kimo/blog/linear.html Jeff Burns 2025-10-30T12:46:38Z https://community.wolfram.com/groups/-/m/t/3566959 &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/af8b26db-64bb-4dc0-86a2-ec4f9378df8c Daniel Carvalho 2025-10-29T00:22:48Z https://community.wolfram.com/groups/-/m/t/3531894 (* Open an input box to name the file group *) GroupName = InputString["Enter the file group name:"]; (* Open an input box to name the folder *) FolderName = InputString["Enter the folder name on the desktop:"]; (* Determine the desktop path *) DesktopPath = FileNameJoin[{Environment["USERPROFILE"], "Desktop", FolderName}]; (* Create the folder if it doesn't exist *) If[!DirectoryQ[DesktopPath], CreateDirectory[DesktopPath]]; (* Set the directory as trusted *) SetDirectory[DesktopPath]; ClearAll Begin["restrictedContext`"] Context[dd] (* Import the variables *) jet4 = Import["zeros.txt"]; jet = ToExpression[jet4]; jotit = Import["final.txt"]; minus = Import["zerosverdades.txt"]; minus1 = ToExpression[minus]; let2 = jet; gt = let2 - minus1; let22 = let2 - gt; let2 = ToExpression[let22]; jotitvv3 = StringJoin["1.", StringJoin[Table["0", {jet}]], jotit]; vvv = ToString[jotitvv3]; ee3 = ToExpression[vvv] ii31 = Import["ii3.txt"]; ii3 = ToExpression[ii3]; ii41 = Import["ii4.txt"]; ii4 = ToExpression[ii4]; ii21 = Import["ii2.txt"]; ii2 = ToExpression[ii2]; hh = Import["gh.txt"]; hh2 = ToExpression[hh]; ee3 = dd; question = {x} /. Solve[(ii2*ii3*x + ii4)/(ii2*ii3*x) == dd, x] N[%]; send = ii2*ii3*question + ii4; send2 = Flatten[send]; send3 = Flatten[send2]; answer = DecimalForm[send3]; a = {x1} /. Solve[(ii2*ii3*x1 + ii4)/(ii2*ii3*x1) == dd, x1]; dd = ee3; letters = (ii2*ii3*a)*dd; letters1 = ToString[letters]; digits = IntegerDigits[letters, 256]; digits2 = Flatten[digits]; gh = hh2; hj = Take[%, -1]; bb = Partition[digits2, 4]; bg = Partition[bb, hj]; image = Image[bg, "Byte", ColorSpace -> "RGB", ImageSize -> gh]; img = image labImg = ColorConvert[img, "LAB"] (*Exporting ii2, ii3, ii4 with custom names*) Export[desktoppath <> "/" <> groupname <> "_gh.txt", hh]; Export[desktoppath <> "/" <> groupname <> "_zeros.txt", jet4]; Export[DesktopPath <> "/" <>GroupName <> "_final.txt", jotit]; Export[DesktopPath <> "/" <>GroupName <> "_truezeros.txt", minus]; Export[DesktopPath <> "/" <>GroupName <> "_ii2.txt", ii2]; Export[DesktopPath <> "/" <>GroupName <> "_ii3.txt", ii3]; Export[DesktopPath <> "/" <>GroupName <> "_ii4.txt", ii4]; Save[DesktopPath <> "/fileSaved.mx", {hh, jet4, jotit, minus, ii2, ii3, ii4}]; End[] (* Restore the previous directory *) ResetDirectory[]; If I run the decoder above it works perfectly if i do not turn off mathematica after I generate via encoder the files ii and the others needed ... but if i turn it off and import the files that are imported just fine the command solve does not give me the right answer as before... could anyone please resolve this issue ? Luis Felipe Massena Misiec 2025-08-18T12:39:28Z https://community.wolfram.com/groups/-/m/t/3494801 &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/863bd38a-0461-4c48-a87e-1f08f7f89415 Gilmer Gary 2025-07-08T16:54:06Z