Abstract
The paper presents a library for image processing based on abstract image data-types. The library finds a balance between programmability and efficiency of implementation of image processing operations. Operations are designed using abstract concepts for images and pixel manipulation to be independent of the image data-type. Operations may be optimized in an iterative way by replacing abstract concepts with data-type specific operations, reaching the level of efficiency of operations designed from scratch for a specific image data-type.
This research was supported by STW project AWI92-1691
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© 1995 Springer-Verlag Berlin Heidelberg
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Koelma, D., Smeulders, A. (1995). An image processing library based on abstract image data-types in C++. In: Braccini, C., DeFloriani, L., Vernazza, G. (eds) Image Analysis and Processing. ICIAP 1995. Lecture Notes in Computer Science, vol 974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60298-4_242
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DOI: https://doi.org/10.1007/3-540-60298-4_242
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Online ISBN: 978-3-540-44787-0
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