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Object-oriented approach to design a content-based image retrieval model,

机译:面向对象的方法设计基于内容的图像检索模型,

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Abstract: The objective of this article is to offer both an image description model in three levels and an adapted image retrieval process. The proposed model allows the description of: the image globally with a classical manner (a list of concepts); the objects separately contained in the image (component objects); and relations between the component objects. This allows more semantic aspects of the image structure to be expressed. It is also possible to use fuzzy information in each level of the description. To build this model, we used the concepts of the object-oriented approach: generalization/specialization, aggregation, and inheritance. This approach is born from a strong need expressed in several fields such as medicine, CAD/CAM, architecture, and the teledetection industry, to be able to retrieve and describe images, their component objects, and the relations between them more precisely, with their own vocabulary and concepts. !10
机译:摘要:本文的目的是提供三个级别的图像描述模型和经过调整的图像检索过程。所提出的模型可以描述:用经典方式(概念列表)全局地描述图像;图像中单独包含的对象(组成对象);以及组件对象之间的关系。这允许表达图像结构的更多语义方面。在描述的每个级别中也可以使用模糊信息。为了构建此模型,我们使用了面向对象方法的概念:泛化/专业化,聚合和继承。这种方法源于在医学,CAD / CAM,建筑和远程检测行业等领域表达的强烈需求,以便能够检索和描述图像,其组成对象以及它们之间的更精确关系以及它们之间的关系。自己的词汇和概念。 !10

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