Configurable Cell Segmentation Solution Using Hough Circles Transform and Watershed Algorithm

Hramm, O.; Bilous, N.; Ahekian, I.

Публікація:
Configurable Cell Segmentation Solution Using Hough Circles Transform and Watershed Algorithm

dc.contributor.author	Hramm, O.
dc.contributor.author	Bilous, N.
dc.contributor.author	Ahekian, I.
dc.date.accessioned	2023-04-17T17:26:58Z
dc.date.available	2023-04-17T17:26:58Z
dc.date.issued	2019
dc.description.abstract	There are many methods for obtaining microscopic images, they can be obtained for different types of cells in different environments, which makes it impossible to create universal recognition algorithms. Therefore, for each specific task, it is necessary to implement a separate algorithm that will be effective for the existing set of images, and take into account the peculiarities of these images. The task of this work is the development of a flexible and customizable algorithm that can be configured to segment cells on different types of images. As a result, a solution was developed that has many customizable parameters to optimize the result for a specific data set. Also, this it is resistant to a lot of noise and artifacts that can occur on images, such as uneven background, small debris, loss of focus when shooting.
dc.identifier.citation	Hramm O. Configurable Cell Segmentation Solution Using Hough Circles Transform and Watershed Algorithm / O. Hramm, N. Bilous, I. Ahekian // 2019 IEEE 8th International Conference on Advanced Optoelectronics and Lasers (CAOL*2019) : сonference proceedings, Sozopol, Bulgaria, 6-8 September 2019. – P. 602–605.
dc.identifier.uri	https://openarchive.nure.ua/handle/document/22653
dc.language.iso	en
dc.subject	cells recognition
dc.subject	segmentation
dc.subject	watershed
dc.subject	Hough transform
dc.title	Configurable Cell Segmentation Solution Using Hough Circles Transform and Watershed Algorithm
dc.type	Article
dspace.entity.type	Publication