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Adapt: Global Image Processing with the Split and Merge Model (1991)  (Make Corrections)  (2 citations)
Jon A. Webb



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Abstract: Adapt is a simple architecture-independent language for both local and global image processing operations based on the split and merge programming model. In the split and merge model, the image is divided into portions, each portion is processed independently, and then the separate results are combined. The split and merge model is examined, and is found capable of computing any image processing operation that can be computed in forward or reverse order over a data strcture. Moreover, the split ... (Update)

Context of citations to this paper:   More

.... typically belong to the category of Problem Solving Environments (PSEs) 22] Examples of such high level environments are: Adapt[23], developed at CMU, is a architecture independent language in the domain of image processing. By providing a simple interface, the user...

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BibTeX entry:   (Update)

J. A. Webb. Adapt: Global Image Processing with the Split and Merge Model. Tech. Rep., CMU-CS-91-129, Carnegie-Mellon University, April, 1991. http://citeseer.ist.psu.edu/webb91adapt.html   More

@techreport{ webb91adapt,
    author = "J. A. Webb",
    title = "Adapt: Global Image Processing with the Split and Merge Model",
    number = "CMU-CS-91-129",
    year = "1991",
    url = "citeseer.ist.psu.edu/webb91adapt.html" }
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