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无线内镜胶囊的硬件图像评估

Hardware image assessment for wireless endoscopy capsules.

作者信息

Khorsandi M A, Karimi N, Samavi S, Hajabdollahi M, Soroushmehr S M R, Ward K, Najarian K

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:2050-2053. doi: 10.1109/EMBC.2016.7591130.

DOI:10.1109/EMBC.2016.7591130
PMID:28268733
Abstract

Wireless capsule endoscopy is a new technology in the realm of telemedicine that has many advantages over the traditional endoscopy systems. Transmitted images should help diagnosis of diseases of the gastrointestinal tract. Two important technical challenges for the manufacturers of these capsules are power consumption and size of the circuitry. Also, the system must be fast enough for real-time processing of image or video data. To solve this problem, many hardware designs have been proposed for implementation of the image processing unit. In this paper we propose an architecture that could be used for the assessment of endoscopy images. The assessment allows avoidance of transmission of medically useless images. Hence, volume of data is reduced for more efficient transmission of images by the endoscopy capsule. This is done by color space conversion and moment calculation of images captured by the capsule. The inputs of the proposed architecture are RGB image frames and the outputs are images with converted colors and calculated image moments. Experimental results indicate that the proposed architecture has low complexity and is appropriate for a real-time application.

摘要

无线胶囊内镜是远程医疗领域的一项新技术,与传统内镜系统相比具有诸多优势。传输的图像应有助于胃肠道疾病的诊断。对于这些胶囊的制造商而言,两个重要的技术挑战是功耗和电路尺寸。此外,该系统必须足够快以实时处理图像或视频数据。为了解决这个问题,已经提出了许多硬件设计来实现图像处理单元。在本文中,我们提出了一种可用于评估内镜图像的架构。这种评估可以避免传输医学上无用的图像。因此,通过减少数据量,内镜胶囊能够更高效地传输图像。这是通过对胶囊捕获的图像进行颜色空间转换和矩计算来实现的。所提出架构的输入是RGB图像帧,输出是颜色转换后的图像和计算出的图像矩。实验结果表明,所提出的架构具有低复杂度,适用于实时应用。

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1
Hardware image assessment for wireless endoscopy capsules.无线内镜胶囊的硬件图像评估
Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:2050-2053. doi: 10.1109/EMBC.2016.7591130.
2
Automated Adaptive Brightness in Wireless Capsule Endoscopy Using Image Segmentation and Sigmoid Function.无线胶囊内镜中基于图像分割和 S 型函数的自动自适应亮度调节
IEEE Trans Biomed Circuits Syst. 2016 Aug;10(4):884-92. doi: 10.1109/TBCAS.2016.2546838. Epub 2016 Jun 20.
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Quantitative measurements in capsule endoscopy.胶囊内镜检查中的定量测量。
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An Ingenious Design of a High Performance-Low Complexity Image Compressor for Wireless Capsule Endoscopy.一种用于无线胶囊内窥镜的高性能低复杂度图像压缩器的巧妙设计。
Sensors (Basel). 2020 Mar 14;20(6):1617. doi: 10.3390/s20061617.
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Automatic detection of informative frames from wireless capsule endoscopy images.无线胶囊内窥镜图像中信息帧的自动检测。
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An automatic bleeding detection scheme in wireless capsule endoscopy based on histogram of an RGB-indexed image.一种基于RGB索引图像直方图的无线胶囊内窥镜自动出血检测方案。
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An improved YEF-DCT based compression algorithm for video capsule endoscopy.一种改进的基于YEF-DCT的视频胶囊内镜压缩算法。
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Hardware-efficient low-power image processing system for wireless capsule endoscopy.用于无线胶囊内窥镜的硬件高效低功耗图像处理系统。
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An Automatic Bleeding Frame and Region Detection Scheme for Wireless Capsule Endoscopy Videos Based on Interplane Intensity Variation Profile in Normalized RGB Color Space.基于归一化 RGB 颜色空间中平面间强度变化特征的无线胶囊内镜视频自动出血帧和出血区域检测方案。
J Healthc Eng. 2018 Feb 25;2018:9423062. doi: 10.1155/2018/9423062. eCollection 2018.

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