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Software engineering to augment image processing tools with apriori knowledge about applications

机译:通过软件工程增强图像处理工具有关应用程序的先验知识

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Deals with a specific approach currently tested in the authors'laboratory, relative to the development of an user oriented interfacededicated to image processing (IP). The main concern is to integratedifferent classes of IP methods into a programming environment whichallows various IP concepts to be handled. It is possible to describe analgorithm using associative mechanisms on abstract objects includinginheritance of their properties from top to bottom and to store it intoan IP database. Each treatment to be included in the programmingenvironment gets a hierarchical functional representation; it is thendefined as a graph linking some operators working on a set of basic IPobjects and carrying IP properties. This kind of `standardization' helpsto classify, select, modify or create operators. This way anytheoretical model implicity embedded in an IP algorithm could bedescribed in terms of its properties, so the propose a semantic approachaiming to capture the `a priori' knowledge about, for instance,applications in taking into account the hierarchical links betweenmodels and patterns, patterns and operator properties then propertiesand access criteria
机译:处理当前作者中测试过的特定方法 实验室,相对于面向用户界面的开发 专门用于图像处理(IP)。主要关注的是整合 不同类型的IP方法进入编程环境 允许处理各种IP概念。可以描述一个 在抽象对象上使用关联机制的算法,包括 从上到下继承其属性并将其存储到 IP数据库。程序中要包含的每种处理 环境获得层次化的功能表示;然后是 定义为一个图表,用于链接一些在一组基本IP上工作的运营商 对象并带有IP属性。这种“标准化”有助于 分类,选择,修改或创建运算符。这样的任何 隐含在IP算法中的理论模型可能是 根据其属性进行描述,因此提出了一种语义方法 旨在获取有关例如的“先验”知识, 应用程序之间要考虑到层次结构之间的联系 模型和模式,模式和操作员属性,然后是属性 和访问标准

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