| Title: |
Intelligent recognition method of Mycobacterium tuberculosis (MTB) dynamic microscopic images based on morphology and regional fusion. |
| Authors: |
Furong Yu1 qinm98686@163.com, Jiachen Liu1, Daojun Chen1, Dun Hu1, Min Zhang2 |
| Source: |
Journal of Biotech Research. 2024, Vol. 18, p282-290. 9p. |
| Subject Terms: |
*LEVEL set methods, *INTERNATIONAL economic integration, *TECHNICAL information, *IMAGE processing, *TUBERCULOSIS, *MYCOBACTERIUM tuberculosis |
| Abstract: |
Tuberculosis is caused by a type of bacteria named Mycobacterium tuberculosis. Due to the quality difference of the original dynamic microscopic images of Mycobacterium tuberculosis, it is difficult to guarantee the recognition effect. In this work, the noise in the original dynamic microscopic image of Mycobacterium tuberculosis was removed by morphological processing, while the purpose of filling holes and disconnecting connected areas was achieved. Based on corrosion and expansion of the image, the original dynamic microscopic image of Mycobacterium tuberculosis was preprocessed by opening and closing operations. After dividing the target area and the background area with the help of the threshold, the adjacent Mycobacterium tuberculosis areas were merged into a continuous area by using the level set method in regional fusion, and finally the identification of Mycobacterium tuberculosis bacteria was realized according to the characteristics fed back from the image. This intelligent microscopic image processing technology, which preprocessed the original dynamic microscopic images of Mycobacterium tuberculosis from a morphological point of view, and then realized accurate identification of Mycobacterium tuberculosis images through regional fusion, could provide more accurate and reliable diagnostic information and technical support for clinical diagnosis and treatment. [ABSTRACT FROM AUTHOR] |
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| Database: |
Academic Search Complete |
