PixelLearn is an integrated user-interface computer program for classifying pixels in scientific images. Heretofore, training a machine-learning algorithm to classify pixels in images has been tedious and difficult. PixelLearn provides a graphical user interface that makes it faster and more intuitive, leading to more interactive exploration of image data sets. PixelLearn also provides image-enhancement controls to make it easier to see subtle details in images. PixelLearn opens images or sets of images in a variety of common scientific file formats and enables the user to interact with several supervised or unsupervised machine-learning pixel-classifying algorithms while the user continues to browse through the images. The machinelearning algorithms in PixelLearn use advanced clustering and classification methods that enable accuracy much higher than is achievable by most other software previously available for this purpose. PixelLearn is written in portable C++ and runs natively on computers running Linux, Windows, or Mac OS X.
The program was written by Dominic Mazzoni, Kiri Wagstaff, Benjamin Bornstein, Nghia Tang, and Joseph Roden of Caltech for NASA’s Jet Propulsion Laboratory. For further information, access the Technical Support Package (TSP) free online at www.techbriefs.com/tsp under the Software category.
This software is available for commercial licensing. Please contact Karina Edmonds of the California Institute of Technology at (626) 395-2322. Refer to NPO-42082.
This Brief includes a Technical Support Package (TSP).

PixelLearn
(reference NPO-42082) is currently available for download from the TSP library.
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Overview
The document is a Technical Support Package for a software application called PixelLearn, identified by NTR Number 42082, developed by NASA's Jet Propulsion Laboratory (JPL) in Pasadena, California. It is part of NASA Tech Briefs, which disseminates information about aerospace-related developments that have broader technological, scientific, or commercial applications.
The Technical Support Package serves to provide documentation and insights related to PixelLearn, emphasizing its potential uses and benefits. It is produced under the Commercial Technology Program of NASA, which aims to make the results of its research and technology accessible to a wider audience, including industries and researchers outside of NASA.
The document also highlights the importance of compliance with U.S. export regulations, indicating that the information may contain proprietary data and is subject to export control laws. Users are encouraged to adhere to these regulations when utilizing the information provided.
For those seeking further assistance or additional information regarding research and technology in this area, the document references the NASA Scientific and Technical Information (STI) Program Office. It provides contact details for the STI Help Desk, including a physical address, telephone number, fax number, and email address, facilitating access to a broader range of NASA publications and resources.
Additionally, the document includes a disclaimer stating that neither the United States Government nor any representatives acting on its behalf assume liability for the use of the information contained within. It clarifies that any mention of trade names or manufacturers is for identification purposes only and does not imply official endorsement by NASA.
In summary, this Technical Support Package for PixelLearn encapsulates the essence of NASA's commitment to sharing technological advancements with the public and industry, while also ensuring compliance with legal and regulatory frameworks. It serves as a resource for those interested in leveraging NASA's innovations for various applications beyond aerospace, fostering collaboration and knowledge transfer in the field of technology.

