How to add content-based image retrieval capability in a PACS

J. M. Bueno, F. J. T. Chino, A. Traina, C. Traina, P. M. A. Marques
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引用次数: 36

Abstract

This paper presents a new picture archiving and communication system (PACS), called cbPACS (content-based PACS), which has content-based image retrieval resources. cbPACS answers similarity (range and nearest-neighbor) queries, taking advantage of a metric access method embedded into the image database manager. The images are compared via their features, which are extracted by an image processing system module. The system works on features based on the color distribution of the images through normalized histograms as well as metric histograms. Metric histograms are invariant with regard to scale, translation and rotation of images and also to brightness transformations. cbPACS is prepared to integrate new image features, based on the texture and shape of the main objects in the image.
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如何在PACS中添加基于内容的图像检索功能
本文提出了一种新的图像存档与通信系统(PACS),称为cbPACS (content-based PACS),它具有基于内容的图像检索资源。cbPACS响应相似性(范围和最近邻)查询,利用嵌入到图像数据库管理器中的度量访问方法。通过图像处理系统模块提取图像的特征,对图像进行比较。该系统通过归一化直方图和度量直方图处理基于图像颜色分布的特征。度量直方图对于图像的缩放、平移和旋转以及亮度变换都是不变的。基于图像中主要物体的纹理和形状,cbPACS准备整合新的图像特征。
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