A knowledge-based image understanding environment for document processing

Y. Li, M. Lalonde, E. Reiher, Jean-Francois Rizand, Chong Zhu
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引用次数: 5

Abstract

The CRIM Image Mining Environment (CIME) is an image understanding environment integrated with knowledge engineering technologies. The image understanding technology developed for CIME supports recognition tasks such as symbol recognition, contour line recognition, and general image processing operations. CIME is composed of an Object Model Description Language (OMDL) which allows for the semantic description of knowledge about objects and their context, an inference engine which performs image understanding based on the model descriptions in OMDL to achieve the recognition of complex objects, and a task builder which allows for the acquisition of image understanding knowledge and helps the application designer to build strategies for solving application problems through knowledge reuse.
用于文档处理的基于知识的图像理解环境
CRIM图像挖掘环境(CIME)是一个集成了知识工程技术的图像理解环境。为CIME开发的图像理解技术支持诸如符号识别、轮廓线识别和一般图像处理操作等识别任务。CIME由对象模型描述语言(Object Model Description Language, OMDL)和任务构建器(task builder)组成,前者允许对对象及其上下文的知识进行语义描述,后者基于OMDL中的模型描述执行图像理解以实现复杂对象的识别;后者允许获取图像理解知识并帮助应用程序设计者通过知识重用来构建解决应用程序问题的策略。
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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