An Image Algebra for Pictorial Data Manipulation

Jungert E., Chang S.K.
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引用次数: 24

Abstract

Manipulation and transformation of symbolic images requires, in order to become efficient, various high-level data structures and procedures. This is especially true for applications of heuristic type. This paper introduces an image algebra which is based on symbolic projections and includes three fundamental aspects, i.e., a set of powerful relational operators, a generalized representation of "empty space" objects, and multilevel data representation for hierarchical data. Application to spatial reasoning is discussed.

用于图像数据处理的图像代数
符号图像的操作和转换需要各种高级数据结构和过程才能变得高效。对于启发式的应用程序尤其如此。本文介绍了一种基于符号投影的图像代数,它包括三个基本方面:一组强大的关系算子、“空白空间”对象的广义表示和分层数据的多级数据表示。讨论了在空间推理中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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