Applying perceptual grouping to content-based image retrieval: building images

Qasim Iqbal, J. Aggarwal
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引用次数: 93

Abstract

This paper presents an application of perceptual grouping rules for content-based image retrieval. The semantic interrelationships between different primitive image features are exploited by perceptual grouping to detect the presence of manmade structures. A methodology based on these principles in a Bayesian framework for the retrieval of building images, and the results obtained are presented. The image database consists of monocular grayscale outdoor images taken from a ground-level camera.
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将感知分组应用于基于内容的图像检索:构建图像
提出了一种基于内容的图像检索中感知分组规则的应用。通过感知分组,利用不同原始图像特征之间的语义相互关系来检测人工结构的存在。本文提出了一种基于这些原理的基于贝叶斯框架的建筑物图像检索方法,并给出了结果。图像数据库由地面摄像机拍摄的单目灰度户外图像组成。
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