Red blood cells and white blood cells detection by image processing

Autor:	Irwan Rahadi, Meechoke Choodoung, Arunsri Choodoung
Rok vydání:	2020
Předmět:	History Boosting (machine learning) Computer science business.industry Pattern recognition Image processing Common method AdaBoost Artificial intelligence business Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 1539:012025
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1539/1/012025
Popis:	The common method of red and white blood cells identification and counting consider the manual processes on microscope which is arranged by the laboratory’s technician with their own experience. In this research, we will develop a computer program to detect and identify the proposed objects based on their pattern. The proposed objects are Red Blood Cells (RBCs), and White Blood Cells (WBCs). For blood cells identification and classification, an idea of Viola and Jones will be followed. Adaboost (adaptive boosting) method will be applied to increase the accuracy of the error of learning algorithm. The output of the proposed program shows that all the types of cells mentioned can be detected and classify effectively by showing the number and time spent of cells detected.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9145f52dc8bc6e3ba749567dda832b34 https://doi.org/10.1088/1742-6596/1539/1/012025 Zobrazit plný text záznamu