@inproceedings{047f3cd552f64f98a9f6dcb8f92959cd,
title = "Detection of Mycobacterium Tuberculosis in Ziehl-Neelsen Sputum Smear Images",
abstract = "Tuberculosis is one of the top 10 causes of death worldwide. In order to reduce the workload of doctors and the probability of human error, this paper presents an automatic detection algorithm for Mycobacterium tuberculosis in Ziehl-Neelsen Sputum Smear Images. The algorithm uses color feature and three morphological characters, which are aspect ratio, circularity and area. Background Equalization algorithm is proposed to utilize color feature sufficiently. This algorithm takes advantage of the watershed algorithm and the channel 'a' in Lab color space. Experimental results confirmed the high accuracy of the proposed algorithm.",
keywords = "Mycobacterium tuberculosis, image recognition, image segmentation, watershed algorithm",
author = "Sineng Yan and Hongying Liu and Li Sun and Mei Zhou and Zhirui Xiao and Quanjie Zhuang",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018 ; Conference date: 13-10-2018 Through 15-10-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/CISP-BMEI.2018.8633191",
language = "英语",
series = "Proceedings - 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Wei Li and Qingli Li and Lipo Wang",
booktitle = "Proceedings - 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018",
address = "美国",
}
