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XCNN : a software package for color image processing

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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    Abstract

    The paper presents a software prototype capable of performing image processing applications using cellular neural networks (CNN). The software is based on a CNN multi-layer structure in which each primary color is assigned to a unique layer. This allows an added flexibility as different processing applications can be performed in parallel. To be able to handle a full range of color tones, two novel color mapping schemes were derived. In the proposed schemes the color information is obtained from the cell's state rather than from its output. Additionally, a post processor capable of performing pixelwise logical operations among color layers was developed to enhance the results obtained from CNN
    Original languageEnglish
    Title of host publicationProceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA-94, 18-21 December 1994, Rome, Italy
    Place of PublicationNew York
    PublisherInstitute of Electrical and Electronics Engineers
    Pages219-224
    ISBN (Print)0-7803-2070-0
    DOIs
    Publication statusPublished - 1994

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