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    <title>Community RSS Feed</title>
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    <description>RSS Feed for Wolfram Community showing any discussions tagged with Image Processing with no replies sorted by active.</description>
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  <item rdf:about="https://community.wolfram.com/groups/-/m/t/3762800">
    <title>[WSRI26] Limits of Multi-Objective Adaptive Evolution for Cellular Automata</title>
    <link>https://community.wolfram.com/groups/-/m/t/3762800</link>
    <description>![enter image description here][2]&#xD;
&amp;amp;[Wolfram Notebook][1]&#xD;
&#xD;
&#xD;
&#xD;
  [1]: https://www.wolframcloud.com/obj/d4aa9468-5355-4a3a-a60d-f51b32ee6c19&#xD;
  [2]: https://community.wolfram.com//c/portal/getImageAttachment?filename=FrontImage.png&amp;amp;userId=3646156</description>
    <dc:creator>Laura Perilla</dc:creator>
    <dc:date>2026-07-17T06:25:31Z</dc:date>
  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/3576407">
    <title>Detección de cáncer de mama a partir de un modelo de I.A y Machine Learning</title>
    <link>https://community.wolfram.com/groups/-/m/t/3576407</link>
    <description>&amp;amp;[Wolfram Notebook][1]&#xD;
&#xD;
&#xD;
  [1]: https://www.wolframcloud.com/obj/d5e503d0-fd3a-4122-b2cd-7a4e53c19070&#xD;
&#xD;
&#xD;
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.</description>
    <dc:creator>Victoria García Montenegro</dc:creator>
    <dc:date>2025-11-16T23:14:45Z</dc:date>
  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/3575858">
    <title>DÄRÄ: Clasificador de Cáncer de Mama</title>
    <link>https://community.wolfram.com/groups/-/m/t/3575858</link>
    <description>&amp;amp;[Wolfram Notebook][1]&#xD;
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&#xD;
  [1]: https://www.wolframcloud.com/obj/1d2bb4a1-3d08-495a-a41f-4c0ad0026661</description>
    <dc:creator>Natalia Pastrana</dc:creator>
    <dc:date>2025-11-16T20:56:30Z</dc:date>
  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/3512935">
    <title>How does the LLM based function ImageSynthetise work?</title>
    <link>https://community.wolfram.com/groups/-/m/t/3512935</link>
    <description>During the last months I have been studying various behavioral aspects of generative AI models. I tried the LLM based Mathematica function ImageSynthetize, where I gave the function an image as input and the function generates a similar image as an output. During my exploration I found some interesting biases that may concern other users. This required a deeper understanding of how this function works: what are the properties of the generative AI model and which parameters are being used. Naturally my first attempt to learn about these details was through the help page of the function I found little relevant information in the formal documentation sheets. It does imply that by default the function calls a model by OpenAI company, however, this is far from being satisfactory. Specifically there is no information about the model version, which parameters are used by default (for example which &amp;#034;style&amp;#034; is selected, what is the temperature level is used etc.). This information is crucial to understand the observed behavior because there are many factors that affect the generated results. &#xD;
&#xD;
I then tried to get some help from Mathematica support center, however, for over a month of correspondence with them, where I repeatedly asked for the most basic information about what exactly happens when calling this function, I didn&amp;#039;t get any useful information. Without this information a lot of work and money that I already invested in this project will be lost and I will have to start all over using other, more accessible, AI platforms. &#xD;
&#xD;
I apologize for this lengthy introduction but as a loyal user of Mathematica this was an extremely frustrating experience. I really don&amp;#039;t understand why it is so difficult to get this kind of information. So, if anyone here has some experience or knowledge about the ImageSynthetise function I would be very grateful for any relevant information regarding the actual pipeline that is being executed when calling this function. To be more specific, when using the function using the defaults given by Mathematica, which model id being used? Which version exactly, which &amp;#034;style&amp;#034;, temperature value if applicable. Is it a real image-to-image function using stable diffusion algorithm or  does it create a textual prompt from the input image and then creates the output image based on this text? If it is the latter case, which AI models are being used in the different steps? Is there a way to get the textual prompt, as this could be the key factor to understand the observed behavior.</description>
    <dc:creator>Ehud Fonio</dc:creator>
    <dc:date>2025-07-16T08:26:20Z</dc:date>
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  <item rdf:about="https://community.wolfram.com/groups/-/m/t/3363291">
    <title>Wolfram U Webinar Series: New in Wolfram Language 14.2</title>
    <link>https://community.wolfram.com/groups/-/m/t/3363291</link>
    <description>![enter image description here][1]&#xD;
&#xD;
Wolfram U is hosting a webinar series on the new and improved functionality included in Version 14.2 of Wolfram Language! This webinar will span the month of February and will begin with a high-level overview of the biggest new features in the language. Subsequent weekly sessions will be presented by a bevy of Wolfram developers who worked to get all of this new functionality up and running.&#xD;
&#xD;
**February 4, 2025**: Overview of What&amp;#039;s New and Improved in Version 14.2&#xD;
&#xD;
[@Jon McLoone][at0] will show us how Version 14.2 enables both novices and professionals alike to take their computations to the next level. Jon will demonstrate examples of how Wolfram Notebook Assistant can help you turn your rough ideas into computation without needing to write a line of code as well as explain new functionality for computing with big data, generating beautiful plots of physical fields, analyze videos with neural networks and more.&#xD;
&#xD;
**February 12, 2025**: New in Math Computation: Game Theory, Calculus and Algebra with Symbolic Arrays and PDE Models for Magnetic Fields&#xD;
&#xD;
[@Marc Vicuna][at1], [@Adam Strzebonski][at2], and Oliver Ruebenkoenig will discuss expanded functionality in math computation: game theory, graphs, calculus and algebra with symbolic arrays and even partial differential equation models for electromagnetic fields will be covered.&#xD;
&#xD;
**February 19, 2025**: Introducing Tabular&#xD;
&#xD;
[@Jose Martin-Garcia][at3], [@Gosia Konwerska][at4], Rob Knapp, Giulio Alessandrini, Brett Champion, and Sean Cheren will cover the new Tabular object and all of its interrelated functionality. Existing methods for storing data in Wolfram Language have to date been quite flexible&amp;#x2014;when you&amp;#039;re dealing with strictly rectangular structures, Tabular provides a new way to deal efficiently with absolutely massive datasets. The developers will talk about how to create, clean and visualize these Tabular objects.&#xD;
&#xD;
**February 26, 2025**: Image, Video and GPU Computation&#xD;
&#xD;
Shadi Ashnai will show off the rapid incorporation of video as first-class object into Wolfram Language. Learn about new functions that seamlessly work with videos, how to do automated machine learning with video inputs and more. Charles Pooh will discuss new GPU-enabled functionality for extreme speedups across a wide variety of areas.&#xD;
&#xD;
You can register to attend this four-part series **[HERE][2]**.&#xD;
&#xD;
Sessions will start at 11AM Central Time each week. Even if you can&amp;#039;t attend live, registering for this free session will get you recordings delivered directly to your inbox!&#xD;
&#xD;
We hope to see you there. In the meantime, check out [Stephen Wolfram&amp;#039;s blog post][3]!&#xD;
&#xD;
![enter image description here][4]&#xD;
&#xD;
 [at0]: https://community.wolfram.com/web/jonm&#xD;
&#xD;
 [at1]: https://community.wolfram.com/web/mvicuna&#xD;
&#xD;
 [at2]: https://community.wolfram.com/web/adams&#xD;
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 [at3]: https://community.wolfram.com/web/jose&#xD;
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 [at4]: https://community.wolfram.com/web/gosiak&#xD;
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  [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=ScreenShot_2025-01-2216.28.54.png&amp;amp;userId=1711324&#xD;
  [2]: https://www.bigmarker.com/series/new-in-wolfram-language-14-2/series_details?utm_bmcr_source=community&#xD;
  [3]: https://blog.wolfram.com/2025/01/23/launching-version-14-2-of-wolfram-language-mathematica-big-data-meets-computation-ai/&#xD;
  [4]: https://community.wolfram.com//c/portal/getImageAttachment?filename=WolframUBanner.jpeg&amp;amp;userId=1711324</description>
    <dc:creator>Arben Kalziqi</dc:creator>
    <dc:date>2025-01-23T19:09:46Z</dc:date>
  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/3321813">
    <title>Algorhythmic Art ImaGenator Additions V18</title>
    <link>https://community.wolfram.com/groups/-/m/t/3321813</link>
    <description>These are new art functions not covered in the Base Imagenator.  Seed it with your own imagery, be surprised.&#xD;
&#xD;
&amp;amp;[Wolfram Notebook][1]&#xD;
&#xD;
  Sample outputs also attached.&#xD;
&#xD;
&#xD;
  [1]: https://www.wolframcloud.com/obj/a253b538-8cec-44d8-80f9-dd8e720824bf</description>
    <dc:creator>Marcos Ferrer</dc:creator>
    <dc:date>2024-11-15T20:08:35Z</dc:date>
  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/3314625">
    <title>Base &amp;#034;Imagenator&amp;#034; V14</title>
    <link>https://community.wolfram.com/groups/-/m/t/3314625</link>
    <description>Pick your favorite picture and watch the impact of a whole collection of Wolfram image effects / functions alter that picture, maybe even surprising you?&#xD;
&#xD;
&amp;amp;[Wolfram Notebook][1]&#xD;
&#xD;
&#xD;
  [1]: https://www.wolframcloud.com/obj/74fddf2f-12ed-4efd-86b7-c777ac064e13</description>
    <dc:creator>Marcos Ferrer</dc:creator>
    <dc:date>2024-11-05T00:32:28Z</dc:date>
  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/3239448">
    <title>Units for LowpassFilter and HighpassFilter of images</title>
    <link>https://community.wolfram.com/groups/-/m/t/3239448</link>
    <description>For functions like LowpassFilter[data,OmegeC] applied to an image what are the units of OmegeC.&#xD;
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&#xD;
&#xD;
&amp;amp;[Wolfram Notebook][1]&#xD;
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  [1]: https://www.wolframcloud.com/obj/43b9a5eb-2940-4df2-9510-ad82607b70e5</description>
    <dc:creator>Jeff Burns</dc:creator>
    <dc:date>2024-08-01T14:33:27Z</dc:date>
  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/3217332">
    <title>[WSRP24] Impact of parameter perturbation on the neural network performance</title>
    <link>https://community.wolfram.com/groups/-/m/t/3217332</link>
    <description>![Test Accuracy][1]&#xD;
&#xD;
&amp;amp;[Wolfram Notebook][2]&#xD;
&#xD;
&#xD;
  [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=CoverImage.png&amp;amp;userId=3216554&#xD;
  [2]: https://www.wolframcloud.com/obj/7e50ca1b-23b7-43e9-a8dc-0b01f627756e</description>
    <dc:creator>Junseo Lee</dc:creator>
    <dc:date>2024-07-11T22:58:30Z</dc:date>
  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/3106507">
    <title>Image Denoise using Discrete Wavelet Transform</title>
    <link>https://community.wolfram.com/groups/-/m/t/3106507</link>
    <description>&amp;amp;[Wolfram Notebook][1]&#xD;
&#xD;
&#xD;
  [1]: https://www.wolframcloud.com/obj/36ceb8e1-ead5-40d5-8b1e-93c721dc9882</description>
    <dc:creator>Ranjon Pal</dc:creator>
    <dc:date>2024-01-20T09:39:31Z</dc:date>
  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/3098690">
    <title>[WELP23] Analyzing Video Game Box Art</title>
    <link>https://community.wolfram.com/groups/-/m/t/3098690</link>
    <description>![enter image description here][1]&#xD;
&#xD;
&amp;amp;[Wolfram Notebook][2]&#xD;
&#xD;
&#xD;
  [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=9760image.jpeg&amp;amp;userId=911151&#xD;
  [2]: https://www.wolframcloud.com/obj/fa97fc66-dfc6-42d2-ad39-b5c612ca0097</description>
    <dc:creator>Wolfram Education Programs</dc:creator>
    <dc:date>2024-01-09T16:08:37Z</dc:date>
  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/3084049">
    <title>Introduction to Image Processing</title>
    <link>https://community.wolfram.com/groups/-/m/t/3084049</link>
    <description>Please feel free to use this thread to collaborate and share ideas, materials and links to other resources with fellow learners as you work through the &amp;#034;Introduction to Image Processing&amp;#034; course! Join veteran Wolfram instructor Dave Whithoff and fellow learners to learn about the fundamentals of digital image representation and classical operations on images. Course topics include basic brightness, color and contrast editing as well as more advanced image enhancement and editing with machine learning. Practical examples and applications are emphasized throughout the course.&#xD;
&#xD;
If you want more, try out &amp;#034;Image Processing and Analysis Quick Start&amp;#034; and &amp;#034;Real-World Image Processing Applications&amp;#034;! Feel free to share this post on social media using the hashtags #WolframU, #ImageProcessing and #MachineLearning.&#xD;
&#xD;
&#xD;
![enter image description here][1]&#xD;
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&#xD;
  [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=CommunityPostBanner.gif&amp;amp;userId=1406812</description>
    <dc:creator>Wolfram U</dc:creator>
    <dc:date>2023-12-14T19:02:38Z</dc:date>
  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/3005287">
    <title>Collaboration needed: sound-wave generated art</title>
    <link>https://community.wolfram.com/groups/-/m/t/3005287</link>
    <description>Hallo, I am looking for someone who would help me with the code for the image processing. It´s for the visuals for music project and the initial thought is to process the sound-wave pictures created from respective tracks to art generated by wolfram. (the weirder the merrier ).&#xD;
I am not sure how time consuming or demanding such a task is, so please advise me also regarding the fee. (and your work also will be credited). Hope this info is satisfactory for now, if not, please let me know .  &#xD;
And sorry for my English .&#xD;
&#xD;
thank you very much &#xD;
&#xD;
Barbora</description>
    <dc:creator>Barbora Briestenska</dc:creator>
    <dc:date>2023-09-04T08:37:38Z</dc:date>
  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/2960307">
    <title>[WSS23] Grantha script OCR from ancient palm leaves</title>
    <link>https://community.wolfram.com/groups/-/m/t/2960307</link>
    <description>&amp;amp;[Wolfram Notebook][1]&#xD;
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&#xD;
  [1]: https://www.wolframcloud.com/obj/2f125e8b-6029-4e6b-9ec9-c2bbb46e223d</description>
    <dc:creator>Mayuran Muttulingam</dc:creator>
    <dc:date>2023-07-13T02:02:50Z</dc:date>
  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/2960096">
    <title>[WSS23] Atmospheric data retrieval from Calipso satellite</title>
    <link>https://community.wolfram.com/groups/-/m/t/2960096</link>
    <description>![enter image description here][1]&#xD;
&#xD;
&amp;amp;[Wolfram Notebook][2]&#xD;
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  [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=lidar_hero_image.png&amp;amp;userId=2955757&#xD;
  [2]: https://www.wolframcloud.com/obj/6a3e49a9-281b-4732-9598-0bbf87e7419b</description>
    <dc:creator>Richard Medina</dc:creator>
    <dc:date>2023-07-13T01:56:13Z</dc:date>
  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/2934668">
    <title>Animating artworks - interpolating between static images for smooth-transitions slideshow</title>
    <link>https://community.wolfram.com/groups/-/m/t/2934668</link>
    <description>![enter image description here][1]&#xD;
&#xD;
&#xD;
&amp;amp;[Wolfram Notebook][2]&#xD;
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  [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=_0confeelezgif.gif&amp;amp;userId=11733&#xD;
  [2]: https://www.wolframcloud.com/obj/e403aedf-46c7-494c-976a-69eb4d5567c5</description>
    <dc:creator>Vitaliy Kaurov</dc:creator>
    <dc:date>2023-06-12T05:51:27Z</dc:date>
  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/2927344">
    <title>Editing Logo&amp;#039;s color</title>
    <link>https://community.wolfram.com/groups/-/m/t/2927344</link>
    <description>&amp;amp;[Wolfram Notebook][1]&#xD;
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&#xD;
  [1]: https://www.wolframcloud.com/obj/c8473561-4a4e-42e2-bfcf-ed2b85a2b357</description>
    <dc:creator>Varun Patel</dc:creator>
    <dc:date>2023-05-30T15:46:00Z</dc:date>
  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/2849080">
    <title>OCR of Mathematica code by TextRecognize and tesseract</title>
    <link>https://community.wolfram.com/groups/-/m/t/2849080</link>
    <description>&amp;amp;[Wolfram Notebook][1]&#xD;
&#xD;
&#xD;
  [1]: https://www.wolframcloud.com/obj/4fad2b95-3f36-4703-8ccf-3645a1b5959e</description>
    <dc:creator>Roland Franzius</dc:creator>
    <dc:date>2023-03-11T12:10:25Z</dc:date>
  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/2821200">
    <title>How to make a text to image network, based on customer text input ?</title>
    <link>https://community.wolfram.com/groups/-/m/t/2821200</link>
    <description>Hello Everyone. I have a question about how to make a service that could turn customers text to images with wolfram machine learning?   &#xD;
I see beautiful services like midjourney.com that works through discord messenger and i am interesting how to make something like this but better. Because that platforms are generating many wrong looking images, with some defects. Does it possible to make such service based on wolfram technologies ?</description>
    <dc:creator>Sergey Scorin</dc:creator>
    <dc:date>2023-02-01T17:10:17Z</dc:date>
  </item>
  <item rdf:about="https://community.wolfram.com/groups/-/m/t/2618730">
    <title>Human Player vs. NN in GeoGessur</title>
    <link>https://community.wolfram.com/groups/-/m/t/2618730</link>
    <description>&amp;amp;[Wolfram Notebook][1]&#xD;
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&#xD;
  [1]: https://www.wolframcloud.com/obj/d278b962-75e1-4160-a392-24d0bec5938c</description>
    <dc:creator>Theodore Mollano</dc:creator>
    <dc:date>2022-09-17T21:27:00Z</dc:date>
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