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数字显微肺炎细菌图像的经验性图像增强系统。

Empirical system of image enhancement for digital microscopic pneumonia bacteria images.

作者信息

Kumar T Ganesh, Asha V, Manish T I, Muthulakshmi G

出版信息

Bratisl Lek Listy. 2018;119(8):522-529. doi: 10.4149/BLL_2018_096.

Abstract

In this paper the image processing method is used to enhance the pneumonia bacteria images. This paper recognized the bacteria images based on two domains. The enhancement techniques used for bacteria image enhancement were median filter, wiener filter, single scale retinex and multiscale retinex. Image enhancement has a very important role in digital image processing. The median and wiener filters were used for grayscale image enhancement. Then single scale retinex and multiscale retinex were used for color image enhancement. Based on performance metrics identified median filter is suitable for bacteria images in grayscale image enhancement and multiscale retinex is suitable for bacteria color image enhancement (Tab. 2, Fig. 8, Ref. 21).

摘要

本文采用图像处理方法来增强肺炎细菌图像。本文基于两个领域识别细菌图像。用于细菌图像增强的技术有中值滤波、维纳滤波、单尺度Retinex和多尺度Retinex。图像增强在数字图像处理中起着非常重要的作用。中值滤波和维纳滤波用于灰度图像增强。然后单尺度Retinex和多尺度Retinex用于彩色图像增强。基于性能指标确定中值滤波适用于灰度图像增强中的细菌图像,多尺度Retinex适用于细菌彩色图像增强(表2、图8、参考文献21)。

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