An improved method of microscopic image segmentation
| Autor: | Feng Shou Zhang, Fang Dong, Jian Ting Liu, Xin Meng |
|---|---|
| Jazyk: | English<br />French |
| Rok vydání: | 2018 |
| Předmět: | |
| Zdroj: | MATEC Web of Conferences, Vol 176, p 01041 (2018) |
| Druh dokumentu: | article |
| ISSN: | 2261-236X 20181760 |
| DOI: | 10.1051/matecconf/201817601041 |
| Popis: | In order to improve the effectiveness and accuracy of image processing in modern medical inspection, a segmentation image optimization algorithm of improved two-dimensional maximum entropy threshold based on genetic algorithm combined with mathematical morphology is proposed, in view of the microscopic cell images characteristic and the shortcomings of the traditional segmentation algorithm. Through theoretical analysis and contrast test, the segmentation method proposed is superior to the traditional threshold segmentation method in microscopic cell images, and the average segmentation time of the improved algorithm is 73% and 44% higher than the traditional two-dimensional maximum entropy threshold and the improved two-dimensional maximum entropy threshold. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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