一个web管理服务,应用于可视化人类数据集彩色图像的综合表征。

Francesco Menegoni, Francesco Pinciroli
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引用次数: 1

摘要

可见人类数据集(VHD)是一个了不起的原始数字解剖知识仍有待充分利用。VHD解剖图像的颜色是致力于理解复杂数字医学图像内容的不同算法方法的自然目标,但它们从未被详尽地分析过。所有9000 VHD彩色图像的全比色特性可能有助于利用原始数据中隐含的可用信息。本研究利用数据库领域、数据可视化和图像分析的方法,描述了一种新的比色表征和视觉知识发现工具。应用异构方法使我们能够开发直方图元数据库并使其远程可用。它由基于直方图的所有VHD 24位彩色图像的色度表征组成。建立了一个用户友好、交互、直观的3D框架,提供3D服务,并免费提供。它允许实时分析用户自定义的一组VHD图像的颜色成分特征,提供直方图元数据库的3D交互式导航。使用我们的工具和提供的直方图元数据库可以发现新的知识。这项工作使我们能够提出彩色图像表征的新方法,并使用开发的VHD彩色图像服务获得结果,让我们部分理解到目前为止分析这些图像所取得的不完全令人满意的结果。
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A web management service applied to a comprehensive characterization of Visible Human Dataset colour images.

Visible Human Dataset (VHD) is a remarkable piece of raw digital anatomical knowledge still to be fully exploited. Colours of VHD anatomic images are the natural targets of different algorithmic approaches devoted to understanding the content of the complex digital medical images, but they have never been analysed exhaustively. A full colorimetric characterization of all 9000 VHD colour images may help to take advantage of implicit available information in raw data. This study describes a novel colorimetric characterization and a Visual Knowledge Discovery tool, using methods from database field, data visualization, and image analysis. The applied heterogeneous methods allowed us to develop a histogram meta database and make it available remotely. It consists of a histogram-based colorimetric characterization of the all VHD 24-bit colour images. A user-friendly, interactive, and intuitive 3D framework providing 3D services was built and made freely available. It allows real-time analysis of colour component characteristics of a user-defined set of VHD images providing 3D interactive navigation of the histogram meta database. New knowledge can be discovered using our tool and the histogram meta database provided. This work allowed us to propose novel methods for colour image characterization and obtained results using developed service on VHD colour images let us to partially understand the not fully satisfactorily results achieved so far analysing these images.

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